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Computer Science Department Dissertations Collection
Dissertations from 2024 2024.
Enabling Privacy and Trust in Edge AI Systems , Akanksha Atrey, Computer Science
Generative Language Models for Personalized Information Understanding , Pengshan Cai, Computer Science
Towards Automatic and Robust Variational Inference , Tomas Geffner, Computer Science
Multi-SLAM Systems for Fault-Tolerant Simultaneous Localization and Mapping , Samer Nashed, Computer Science
Policy Gradient Methods: Analysis, Misconceptions, and Improvements , Christopher P. Nota, Computer Science
Data to science with AI and human-in-the-loop , Gustavo Perez Sarabia, Computer Science
Question Answering By Case-Based Reasoning With Textual Evidence , Dung N. Thai, Computer Science
Dissertations from 2023 2023
An Introspective Approach for Competence-Aware Autonomy , Connor Basich, Computer Science
Foundations of Node Representation Learning , Sudhanshu Chanpuriya, Computer Science
Learning to See with Minimal Human Supervision , Zezhou Cheng, Computer Science
IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES , Ishita Dasgupta, Computer Science
Automating the Formal Verification of Software , Emily First, Computer Science
Learning from Sequential User Data: Models and Sample-efficient Algorithms , Aritra Ghosh, Computer Science
Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data , Mahmood Jasim, Computer Science
Rigorous Experimentation For Reinforcement Learning , Scott M. Jordan, Computer Science
Towards Robust Long-form Text Generation Systems , Kalpesh Krishna, Computer Science
Emerging Trustworthiness Issues in Distributed Learning Systems , Hamid Mozaffari, Computer Science
TOWARDS RELIABLE CIRCUMVENTION OF INTERNET CENSORSHIP , Milad nasresfahani, Computer Science
Evidence Assisted Learning for Clinical Decision Support Systems , Bhanu Pratap Singh Rawat, Computer Science
DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS , Anirudh Sabnis, Computer Science
Quantifying and Enhancing the Security of Federated Learning , Virat Vishnu Shejwalkar, Computer Science
Effective and Efficient Transfer Learning in the Era of Large Language Models , Tu Vu, Computer Science
Data-driven Modeling and Analytics for Greening the Energy Ecosystem , John Wamburu, Computer Science
Bayesian Structural Causal Inference with Probabilistic Programming , Sam A. Witty, Computer Science
LEARNING TO RIG CHARACTERS , Zhan Xu, Computer Science
GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS , Dongxu Zhang, Computer Science
Dissertations from 2022 2022
COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN , Raghavendra K. Addanki, Computer Science
MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION , Seyed Arian Akhavan Niaki, Computer Science
Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data , Trapit Bansal, Computer Science
Communicative Information Visualizations: How to make data more understandable by the general public , Alyxander Burns, Computer Science
REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS , Yash Chandak, Computer Science
Modeling the Multi-mode Distribution in Self-Supervised Language Models , Haw-Shiuan Chang, Computer Science
Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases , Rajarshi Das, Computer Science
Languages and Compilers for Writing Efficient High-Performance Computing Applications , Abhinav Jangda, Computer Science
Controllable Neural Synthesis for Natural Images and Vector Art , Difan Liu, Computer Science
Probabilistic Commonsense Knowledge , Xiang Li, Computer Science
DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE , Raj Kumar Maity, Computer Science
Practical Methods for High-Dimensional Data Publication with Differential Privacy , Ryan H. McKenna, Computer Science
Incremental Non-Greedy Clustering at Scale , Nicholas Monath, Computer Science
High-Quality Automatic Program Repair , Manish Motwani, Computer Science
Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors , Brandon R. Oubre, Computer Science
Mixture Models in Machine Learning , Soumyabrata Pal, Computer Science
Decision Making with Limited Data , Kieu My Phan, Computer Science
Neural Approaches for Language-Agnostic Search and Recommendation , Hamed Rezanejad Asl Bonab, Computer Science
Low Resource Language Understanding in Voice Assistants , Subendhu Rongali, Computer Science
Enabling Daily Tracking of Individual’s Cognitive State With Eyewear , Soha Rostaminia, Computer Science
LABELED MODULES IN PROGRAMS THAT EVOLVE , Anil K. Saini, Computer Science
Reliable Decision-Making with Imprecise Models , Sandhya Saisubramanian, Computer Science
Data Scarcity in Event Analysis and Abusive Language Detection , Sheikh Muhammad Sarwar, Computer Science
Representation Learning for Shape Decomposition, By Shape Decomposition , Gopal Sharma, Computer Science
Metareasoning for Planning and Execution in Autonomous Systems , Justin Svegliato, Computer Science
Approximate Bayesian Deep Learning for Resource-Constrained Environments , Meet Prakash Vadera, Computer Science
ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS , Lakshmi Nair Vikraman, Computer Science
Dissertations from 2021 2021
Neural Approaches to Feedback in Information Retrieval , Keping Bi, Computer Science
Sociolinguistically Driven Approaches for Just Natural Language Processing , Su Lin Blodgett, Computer Science
Enabling Declarative and Scalable Prescriptive Analytics in Relational Data , Matteo Brucato, Computer Science
Neural Methods for Answer Passage Retrieval over Sparse Collections , Daniel Cohen, Computer Science
Utilizing Graph Structure for Machine Learning , Stefan Dernbach, Computer Science
Enhancing Usability and Explainability of Data Systems , Anna Fariha, Computer Science
Algorithms to Exploit Data Sparsity , Larkin H. Flodin, Computer Science
3D Shape Understanding and Generation , Matheus Gadelha, Computer Science
Robust Algorithms for Clustering with Applications to Data Integration , Sainyam Galhotra, Computer Science
Improving Evaluation Methods for Causal Modeling , Amanda Gentzel, Computer Science
SAFE AND PRACTICAL MACHINE LEARNING , Stephen J. Giguere, Computer Science
COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING , Craig Stuart Greenberg, Computer Science
Natural Language Processing for Lexical Corpus Analysis , Abram Kaufman Handler, Computer Science
Social Measurement and Causal Inference with Text , Katherine A. Keith, Computer Science
Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning , A. Pinar Ozisik, Computer Science
Resource Allocation in Distributed Service Networks , Nitish Kumar Panigrahy, Computer Science
History Modeling for Conversational Information Retrieval , Chen Qu, Computer Science
Design and Implementation of Algorithms for Traffic Classification , Fatemeh Rezaei, Computer Science
SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET , Mohammad Rostami, Computer Science
Deep Learning Models for Irregularly Sampled and Incomplete Time Series , Satya Narayan Shukla, Computer Science
Traffic engineering in planet-scale cloud networks , Rachee Singh, Computer Science
Video Adaptation for High-Quality Content Delivery , Kevin Spiteri, Computer Science
Learning from Limited Labeled Data for Visual Recognition , Jong-Chyi Su, Computer Science
Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications , Amee Trivedi, Computer Science
Geometric Representation Learning , Luke Vilnis, Computer Science
Understanding of Visual Domains via the Lens of Natural Language , Chenyun Wu, Computer Science
Towards Practical Differentially Private Mechanism Design and Deployment , Dan Zhang, Computer Science
Audio-driven Character Animation , Yang Zhou, Computer Science
Dissertations from 2020 2020
Noise-Aware Inference for Differential Privacy , Garrett Bernstein, Computer Science
Motion Segmentation - Segmentation of Independently Moving Objects in Video , Pia Katalin Bideau, Computer Science
An Empirical Assessment of the Effectiveness of Deception for Cyber Defense , Kimberly J. Ferguson-Walter, Computer Science
Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems , Richard Freedman, Computer Science
Improving Reinforcement Learning Techniques by Leveraging Prior Experience , Francisco M. Garcia, Computer Science
Optimization and Training of Generational Garbage Collectors , Nicholas Jacek, Computer Science
Understanding the Dynamic Visual World: From Motion to Semantics , Huaizu Jiang, Computer Science
Improving Face Clustering in Videos , SouYoung Jin, Computer Science
Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction , Ariel Kobren, Computer Science
Learning Latent Characteristics of Data and Models using Item Response Theory , John P. Lalor, Computer Science
Higher-Order Representations for Visual Recognition , Tsung-Yu Lin, Computer Science
Learning from Irregularly-Sampled Time Series , Steven Cheng-Xian Li, Computer Science
Dynamic Composition of Functions for Modular Learning , Clemens GB Rosenbaum, Computer Science
Improving Visual Recognition With Unlabeled Data , Aruni Roy Chowdhury, Computer Science
Deep Neural Networks for 3D Processing and High-Dimensional Filtering , Hang Su, Computer Science
Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery , Aditya Sundarrajan, Computer Science
The Limits of Location Privacy in Mobile Devices , Keen Yuun Sung, Computer Science
ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS , David Tench, Computer Science
System Design for Digital Experimentation and Explanation Generation , Emma Tosch, Computer Science
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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations
Computer Science and Engineering Theses and Dissertations
Theses/dissertations from 2023 2023.
Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno
Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan
Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros
Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin
Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen
Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur
A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.
Graph Analysis on Social Networks , Shen Lu
Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera
Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo
Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi
Theses/Dissertations from 2022 2022
Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed
Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala
Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen
A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave
On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández
Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou
Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang
A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri
Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney
Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin
Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker
Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich
Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar
Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong
Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward
Theses/Dissertations from 2021 2021
Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar
Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia
Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto
Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis
Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi
Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill
Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja
Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana
Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev
Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.
Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski
Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov
Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai
Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri
Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco
Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam
Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava
A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza
Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar
Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams
Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari
Theses/Dissertations from 2020 2020
Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal
Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil
Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari
Composition of Atomic-Obligation Security Policies , Yan Cao Albright
Action Recognition Using the Motion Taxonomy , Maxat Alibayev
Sentiment Analysis in Peer Review , Zachariah J. Beasley
Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov
Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang
Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram
PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami
Composition of Atomic-Obligation Security Policies , Danielle Ferguson
Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel
The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann
Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez
Privacy-Preserving and Functional Information Systems , Thang Hoang
Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January
Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi
Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam
Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha
Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath
System Support of Concurrent Database Query Processing on a GPU , Hao Li
Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu
Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li
Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla
Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng
Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi
Models of Secure Software Enforcement and Development , Hernan M. Palombo
Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos
Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul
Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan
Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah
Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui
Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah
Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu
Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon
Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna
Theses/Dissertations from 2019 2019
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur
Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed
Phenomena of Social Dynamics in Online Games , Essa Alhazmi
A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters , Adel Alshehri
Interactive Fitness Domains in Competitive Coevolutionary Algorithm , ATM Golam Bari
Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy , Abhishek Bhattacharjee
A Communication-Centric Framework for Post-Silicon System-on-chip Integration Debug , Yuting Cao
Authentication and SQL-Injection Prevention Techniques in Web Applications , Cagri Cetin
Multimodal Emotion Recognition Using 3D Facial Landmarks, Action Units, and Physiological Data , Diego Fabiano
Robotic Motion Generation by Using Spatial-Temporal Patterns from Human Demonstrations , Yongqiang Huang
A GPU-Based Framework for Parallel Spatial Indexing and Query Processing , Zhila Nouri Lewis
A Flexible, Natural Deduction, Automated Reasoner for Quick Deployment of Non-Classical Logic , Trisha Mukhopadhyay
An Efficient Run-time CFI Check for Embedded Processors to Detect and Prevent Control Flow Based Attacks , Srivarsha Polnati
Force Feedback and Intelligent Workspace Selection for Legged Locomotion Over Uneven Terrain , John Rippetoe
Detecting Digitally Forged Faces in Online Videos , Neilesh Sambhu
Malicious Manipulation in Service-Oriented Network, Software, and Mobile Systems: Threats and Defenses , Dakun Shen
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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses
Computer Science Dissertations and Theses
Theses/dissertations from 2024 2024.
MmWave RAT Optimization: MAC Layer Initial Access Design and Transport Layer Integration , Suresh Srinivasan (Dissertation)
Theses/Dissertations from 2023 2023
Seeing in the Dark: Towards Robust Pedestrian Detection at Nighttime , Afnan Althoupety (Dissertation)
A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)
Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)
Energy Auction with Non-Relational Persistence , Michael Ramez Howard (Thesis)
Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)
Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)
Theses/Dissertations from 2022 2022
Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)
An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)
Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)
Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)
Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)
Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)
Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)
Theses/Dissertations from 2021 2021
Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)
Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)
Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)
Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)
Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)
Theses/Dissertations from 2020 2020
Multiple Diagram Navigation , Hisham Benotman (Dissertation)
Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)
Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)
Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)
Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)
Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)
Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)
Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)
Theses/Dissertations from 2019 2019
A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)
Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)
Local Radiance , Scott Peter Britell (Dissertation)
Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)
Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)
Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)
Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)
Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)
Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)
Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)
Theses/Dissertations from 2018 2018
Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)
Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)
Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)
EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)
Theses/Dissertations from 2017 2017
Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)
Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)
Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)
Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)
Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)
Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)
Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)
Theses/Dissertations from 2016 2016
Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)
Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)
Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)
Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)
Theses/Dissertations from 2015 2015
Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)
Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)
Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)
Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)
Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)
The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)
Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)
Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)
Theses/Dissertations from 2014 2014
The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)
Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)
Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)
System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)
Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)
Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)
Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)
Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)
Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)
The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)
Theses/Dissertations from 2013 2013
Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)
Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)
Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)
Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)
Theses/Dissertations from 2012 2012
Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)
A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)
A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)
Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)
The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)
The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)
Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)
Theses/Dissertations from 2011 2011
Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)
Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)
Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)
Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)
On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)
HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)
A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)
Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)
High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)
Theses/Dissertations from 2010 2010
Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)
Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)
An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)
Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)
Scalable event tracking on high-end parallel systems , Kathryn Marie Mohror (Dissertation)
Performance Analysis of Hybrid CPU/GPU Environments , Michael Shawn Smith (Thesis)
Theses/Dissertations from 2009 2009
Computational Techniques for Reducing Spectra of the Giant Planets in Our Solar System , Holly L. Grimes (Thesis)
Programmer Friendly Refactoring Tools , Emerson Murphy-Hill (Dissertation)
A Framework for Superimposed Applications : Techniques to Represent, Access, Transform, and Interchange Bi-level Information , Sudarshan Srivivasa Murthy (Dissertation)
Graphical User Interfaces as Updatable Views , James Felger Terwilliger (Dissertation)
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Research Topics & Ideas: CompSci & IT
50+ Computer Science Research Topic Ideas To Fast-Track Your Project
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Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.
NB – This is just the start…
The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.
If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.
Overview: CompSci Research Topics
- Algorithms & data structures
- Artificial intelligence ( AI )
- Computer networking
- Database systems
- Human-computer interaction
- Information security (IS)
- Software engineering
- Examples of CompSci dissertation & theses
Topics/Ideas: Algorithms & Data Structures
- An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
- A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
- An evaluation of machine learning algorithms used for recommender systems in streaming services
- A review of approximation algorithm approaches for solving NP-hard problems
- An analysis of parallel algorithms for high-performance computing of genomic data
- The influence of data structures on optimal algorithm design and performance in Fintech
- A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
- A comparison of streaming algorithm performance for the detection of elephant flows
- A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
- Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
- Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
- A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
- A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
- Exploring the feasibility of applying information theory to feature extraction in retail datasets.
- Assessing the use case of neural network algorithms for image analysis in biodiversity assessment
Topics & Ideas: Artificial Intelligence (AI)
- Applying deep learning algorithms for speech recognition in speech-impaired children
- A review of the impact of artificial intelligence on decision-making processes in stock valuation
- An evaluation of reinforcement learning algorithms used in the production of video games
- An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
- An analysis of the ethical and social implications of artificial intelligence-based automated marking
- The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
- An examination of the use of artificial intelligence in orthopaedic surgery
- The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
- An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
- A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools
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Topics & Ideas: Networking
- An analysis of the impact of 5G technology on internet penetration in rural Tanzania
- Assessing the role of software-defined networking (SDN) in modern cloud-based computing
- A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
- Exploring the influence of cloud computing on security risks in fintech.
- An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
- Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
- An evaluation of the challenges and opportunities in 6G wireless network adoption
- The role of network congestion control algorithms in improving network performance on streaming platforms
- An analysis of network coding-based approaches for data security
- Assessing the impact of network topology on network performance and reliability in IoT-based workspaces
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Topics & Ideas: Database Systems
- An analysis of big data management systems and technologies used in B2B marketing
- The impact of NoSQL databases on data management and analysis in smart cities
- An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
- Exploring the role of data warehousing and business intelligence in global consultancies
- An analysis of the use of graph databases for data modelling and analysis in recommendation systems
- The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
- An examination of the challenges and opportunities of distributed databases in supply chain management
- Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
- An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
- Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing
Topics & Ideas: Human-Computer Interaction
- An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
- An exploration of how artificial intelligence is changing human-computer interaction patterns in children
- An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
- Assessing the influence of virtual and augmented reality on consumer purchasing patterns
- An examination of the use of gesture-based interfaces in architecture
- Exploring the impact of ease of use in wearable technology on geriatric user
- Evaluating the ramifications of gamification in the Metaverse
- A systematic review of user experience (UX) design advances associated with Augmented Reality
- A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
- Analysing the impact of voice-based interfaces on purchase practices in the fast food industry
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Topics & Ideas: Information Security
- A bibliometric review of current trends in cryptography for secure communication
- An analysis of secure multi-party computation protocols and their applications in cloud-based computing
- An investigation of the security of blockchain technology in patient health record tracking
- A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
- A systematic review of secure data storage solutions used for cloud computing in the fintech industry
- An analysis of intrusion detection and prevention systems used in the healthcare sector
- Assessing security best practices for IoT devices in political offices
- An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
- A comparative study of digital signature schemes adoption in property transfers
- An assessment of the security of secure wireless communication systems used in tertiary institutions
Topics & Ideas: Software Engineering
- A study of agile software development methodologies and their impact on project success in pharmacology
- Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
- A study of the impact of DevOps practices on software development and delivery in the healthcare sector
- An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
- A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
- An investigation of software testing techniques and methodologies for subscription-based offerings
- A review of software security practices and techniques for protecting against phishing attacks from social media
- An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
- Exploring the impact of software development outsourcing on project success in multinational contexts
- An investigation into the effect of poor software documentation on app success in the retail sector
CompSci & IT Dissertations/Theses
While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.
Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.
- An array-based optimization framework for query processing and data analytics (Chen, 2021)
- Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
- Embedding constructural documentation in unit tests (Nassif, 2019)
- PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
- Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
- Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
- Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
- Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
- Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
- Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
- Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
- A state-based approach to context modeling and computing (Yue, 2019)
- A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
- HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)
Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.
Fast-Track Your Research Topic
If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.
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Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.
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Information Technology -MSc program
It’s really interesting but how can I have access to the materials to guide me through my work?
That’s my problem also.
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?
BLOCKCHAIN TECHNOLOGY
I NEED TOPIC
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Home > Computer Science > CompSci TDs > Masters Theses
Computer Science Masters Theses
Theses from 2024 2024.
Enabling smart healthcare applications through visible light communication networks , Jack Manhardt
Time series anomaly detection using generative adversarial networks , Shyam Sundar Saravanan
Theses from 2023 2023
DYNAMIC DISCOUNTED SATISFICING BASED DRIVER DECISION PREDICTION IN SEQUENTIAL TAXI REQUESTS , Sree Pooja Akula
MAT: Genetic Algorithms Based Multi-Objective Adversarial Attack on Multi-Task Deep Neural Networks , Nikola Andric
COMPUTER VISION IN ADVERSE CONDITIONS: SMALL OBJECTS, LOW-RESOLUTION IMAGES, AND EDGE DEPLOYMENT , Raja Sunkara
Theses from 2022 2022
Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers , Sainath Sanga
Man-in-the-Middle Attacks on MQTT based IoT networks , Henry C. Wong
Theses from 2021 2021
Biochemical assay invariant attestation for the security of cyber-physical digital microfluidic biochips , Fredrick Eugene Love II
Theses from 2020 2020
On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu
Theses from 2019 2019
Advanced techniques for improving canonical genetic programming , Adam Tyler Harter
Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter
Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam
Theses from 2018 2018
Mixed-criticality real-time task scheduling with graceful degradation , Samsil Arefin
CARD: Concealed and remote discovery of IoT devices in victims' home networks , Sammie Lee Bush
Multiple security domain non deducibility in the FREEDM smart grid infrastructure , Manish Jaisinghani
Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks , Himanshu Jethawa
Solidification rate detection through solid-liquid interface tracking , Wei Luo
Cloud transactions and caching for improved performance in clouds and DTNs , Dileep Mardham
Cyber-physical security of an electric microgrid , Prashanth Palaniswamy
An approach for formal analysis of the security of a water treatment testbed , Sai Sidharth Patlolla
Analyzing large scale trajectory data to identify users with similar behavior , Tyler Clark Percy
Precise energy efficient scheduling of mixed-criticality tasks & sustainable mixed-criticality scheduling , Sai Sruti
A network tomography approach for traffic monitoring in smart cities , Ruoxi Zhang
Improved CRPD analysis and a secure scheduler against information leakage in real-time systems , Ying Zhang
Theses from 2017 2017
Cyber-physical security of a chemical plant , Prakash Rao Dunaka
UFace: Your universal password no one can see , Nicholas Steven Hilbert
Multi stage recovery from large scale failure in interdependent networks , Maria Angelin John Bosco
Multiple security domain model of a vehicle in an automated vehicle system , Uday Ganesh Kanteti
Personalizing education with algorithmic course selection , Tyler Morrow
Decodable network coding in wireless network , Junwei Su
Multiple security domain nondeducibility air traffic surveillance systems , Anusha Thudimilla
Theses from 2016 2016
Automated design of boolean satisfiability solvers employing evolutionary computation , Alex Raymond Bertels
Care-Chair: Opportunistic health assessment with smart sensing on chair backrest , Rakesh Kumar
Theses from 2015 2015
Dependability analysis and recovery support for smart grids , Isam Abdulmunem Alobaidi
Sensor authentication in collaborating sensor networks , Jake Uriah Bielefeldt
Argumentation based collaborative software architecture design and intelligent analysis of software architecture rationale , NagaPrashanth Chanda
A Gaussian mixture model for automated vesicle fusion detection and classification , Haohan Li
Hyper-heuristics for the automated design of black-box search algorithms , Matthew Allen Martin
Aerial vehicle trajectory design for spatio-temporal task satisfaction and aggregation based on utility metric , Amarender Reddy Mekala
Design and implementation of a broker for cloud additive manufacturing services , Venkata Prashant Modekurthy
Cyber security research frameworks for coevolutionary network defense , George Daniel Rush
Energy disaggregation in NIALM using hidden Markov models , Anusha Sankara
Theses from 2014 2014
Crime pattern detection using online social media , Raja Ashok Bolla
Energy efficient scheduling and allocation of tasks in sensor cloud , Rashmi Dalvi
A cloud brokerage architecture for efficient cloud service selection , Venkata Nagarjuna Dondapati
Access control delegation in the clouds , Pavani Gorantla
Evolving decision trees for the categorization of software , Jasenko Hosic
M-Grid : A distributed framework for multidimensional indexing and querying of location based big data , Shashank Kumar
Privacy preservation using spherical chord , Doyal Tapan Mukherjee
Top-K with diversity-M data retrieval in wireless sensor networks , Kiran Kumar Puram
On temporal and frequency responses of smartphone accelerometers for explosives detection , Srinivas Chakravarthi Thandu
Efficient data access in mobile cloud computing , Siva Naga Venkata Chaitanya Vemulapalli
An empirical study on symptoms of heavier internet usage among young adults , SaiPreethi Vishwanathan
Theses from 2013 2013
Sybil detection in vehicular networks , Muhammad Ibrahim Almutaz
Argumentation placement recommendation and relevancy assessment in an intelligent argumentation system , Nian Liu
Security analysis of a cyber physical system : a car example , Jason Madden
Efficient integrity verification of replicated data in cloud , Raghul Mukundan
Search-based model summarization , Lokesh Krishna Ravichandran
Hybridizing and applying computational intelligence techniques , Jeffery Scott Shelburg
Secure design defects detection and correction , Wenquan Wang
Theses from 2012 2012
Robust evolutionary algorithms , Brian Wesley Goldman
Semantic preserving text tepresentation and its applications in text clustering , Michael Howard
Vehicle path verification using wireless sensor networks , Gerry W. Howser
Distributed and collaborative watermarking in relational data , Prakash Kumar
Theses from 2011 2011
A social network of service providers for trust and identity management in the Cloud , Makarand Bhonsle
Adaptive rule-based malware detection employing learning classifier systems , Jonathan Joseph Blount
A low-cost motion tracking system for virtual reality applications , Abhinav Chadda
Optimization of textual affect entity relation models , Ajith Cherukad Jose
MELOC - memory and location optimized caching for mobile Ad hoc networks , Lekshmi Manian Chidambaram
A framework for transparent depression classification in college settings via mining internet usage patterns , Raghavendra Kotikalapudi
An incentive based approach to detect selfish nodes in Mobile P2P network , Hemanth Meka
Location privacy policy management system , Arej Awodha Muhammed
Exploring join caching in programming codes to reduce runtime execution , Swetha Surapaneni
Theses from 2010 2010
Event detection from click-through data via query clustering , Prabhu Kumar Angajala
Population control in evolutionary algorithms , Jason Edward Cook
Dynamic ant colony optimization for globally optimizing consumer preferences , Pavitra Dhruvanarayana
EtherAnnotate: a transparent malware analysis tool for integrating dynamic and static examination , Joshua Michael Eads
Representation and validation of domain and range restrictions in a relational database driven ontology maintenance system , Patrick Garrett. Edgett
Cloud security requirements analysis and security policy development using a high-order object-oriented modeling technique , Kenneth Kofi Fletcher
Multi axis slicing for rapid prototyping , Divya Kanakanala
Content based image retrieval for bio-medical images , Vikas Nahar
2-D path planning for direct laser deposition process , Swathi Routhu
Contribution-based priority assessment in a web-based intelligent argumentation network for collaborative software development , Maithili Satyavolu
An artificial life approach to evolutionary computation: from mobile cellular algorithms to artificial ecosystems , Shivakar Vulli
Intelligent computational argumentation for evaluating performance scores in multi-criteria decision making , Rubal Wanchoo
Minimize end-to-end delay through cross-layer optimization in multi-hop wireless sensor networks , Yibo Xu
Theses from 2009 2009
Information flow properties for cyber-physical systems , Rav Akella
Exploring the use of a commercial game engine for the development of educational software , Hussain Alafaireet
Automated offspring sizing in evolutionary algorithms , André Chidi Nwamba
Theses from 2008 2008
Image analysis techniques for vertebra anomaly detection in X-ray images , Mohammed Das
Cross-layer design through joint routing and link allocation in wireless sensor networks , Xuan Gong
A time series classifier , Christopher Mark Gore
An economic incentive based routing protocol incorporating quality of service for mobile peer-to-peer networks , Anil Jade
Incorporation of evidences in an intelligent argumentation network for collaborative engineering design , Ekta Khudkhudia
PrESerD - Privacy ensured service discovery in mobile peer-to-peer environment , Santhosh Muthyapu
Co-optimization: a generalization of coevolution , Travis Service
Critical infrastructure protection and the Domain Name Service (DNS) system , Mark Edward Snyder
Co-evolutionary automated software correction: a proof of concept , Joshua Lee Wilkerson
Theses from 2007 2007
A light-weight middleware framework for fault-tolerant and secure distributed applications , Ian Jacob Baird
Symbolic time series analysis using hidden Markov models , Nikhil Bhardwaj
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Computer Science Theses and Dissertations
This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository
Theses/Dissertations from 2024 2024
A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani
Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy
Theses/Dissertations from 2023 2023
Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar
Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian
Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh
INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee
Algorithms and Software for Oligonucleotide Design , Qin Dong
Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani
De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han
Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley
A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He
A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh
Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani
Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu
Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li
Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li
DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li
Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai
Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad
The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi
Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam
Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi
Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat
Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul
On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi
Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza
Migration in Edge Computing , Arshin Rezazadeh
A Modified Hopfield Network for the K-Median Problem , Cody Rossiter
Predicting Network Failures with AI Techniques , Chandrika Saha
Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha
An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa
Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia
Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia
IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales
A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad
Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim
A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba
Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong
Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang
Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar
Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang
Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi
Theses/Dissertations from 2022 2022
The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt
Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy
Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez
Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu
Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte
Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell
Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch
Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh
Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost
Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie
Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka
Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling
Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan
Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti
Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida
False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito
Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford
An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson
Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem
A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid
Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma
Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi
Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis
Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg
Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang
Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang
Predicting and Modifying Memorability of Images , Mohammad Younesi
Theses/Dissertations from 2021 2021
Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed
A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar
Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani
Contrastive Learning of Auditory Representations , Haider Al-Tahan
Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi
Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak
Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman
Improving Reader Motivation with Machine Learning , Tanner A. Bohn
A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang
Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee
A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen
Exploratory Search with Archetype-based Language Models , Brent D. Davis
Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo
Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon
A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du
Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi
Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan
A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar
Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami
Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara
Parallel Arbitrary-precision Integer Arithmetic , Davood Mohajerani
A Technique for Evaluating the Health Status of a Software Module Using Process Metrics , . Ria
Visual Analytics for Performing Complex Tasks with Electronic Health Records , Neda Rostamzadeh
Predictive Model of Driver's Eye Fixation for Maneuver Prediction in the Design of Advanced Driving Assistance Systems , Mohsen Shirpour
A Generative-Discriminative Approach to Human Brain Mapping , Deepanshu Wadhwa
WesternAccelerator:Rapid Development of Microservices , Haoran Wei
A Lightweight and Explainable Citation Recommendation System , Juncheng Yin
Mitosis Detection from Pathology Images , Jinhang Zhang
Theses/Dissertations from 2020 2020
Visual Analytics of Electronic Health Records with a focus on Acute Kidney Injury , Sheikh S. Abdullah
Towards the Development of Network Service Cost Modeling-An ISP Perspective , Yasmeen Ali
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Designing Macromolecules using Machine Learning and Simulations
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Methods to program and to probe RNA tertiary structure with nucleic acid origami
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Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD
Computer Science and Engineering Theses, Projects, and Dissertations
Theses/projects/dissertations from 2024 2024.
TRAFFIC ANALYSIS OF CITIES IN SAN BERNARDINO COUNTY , Sai Kalyan Ayyagari
Recommendation System using machine learning for fertilizer prediction , Durga Rajesh Bommireddy
Classification of Remote Sensing Image Data Using Rsscn-7 Dataset , Satya Priya Challa
Cultural Awareness Application , Bharat Gupta
PREDICTING HOSPITALIZATION USING ARTIFICIAL INTELLIGENCE , Sanath Hiremath
AUTOMATED BRAIN TUMOR CLASSIFIER WITH DEEP LEARNING , venkata sai krishna chaitanya kandula
TRUCK TRAFFIC ANALYSIS IN THE INLAND EMPIRE , Bhavik Khatri
Crash Detecting System Using Deep Learning , Yogesh Reddy Muddam
A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING , Aswin Kumar Nalluri
Theses/Projects/Dissertations from 2023 2023
CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa
GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides
HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva
MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR
MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni
Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare
CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya
WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala
Sales and Stock Management System , Rashmika Gaddam Ms
CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli
RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi
DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha
DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas
CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa
A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG
LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida
PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava
TWITTER POLICING , Hemanth Kumar Medisetty
TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR
LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga
PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri
REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth
Brain Tumor Detection Using MRI Images , Mayur Patel
QUIZ WEB APPLICATION , Dipti Rathod
HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM
Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan
FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah
AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota
GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati
GOVERNMENT AID PORTAL , Darshan Togadiya
GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga
LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala
DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri
Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright
Theses/Projects/Dissertations from 2022 2022
LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander
LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya
HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri
IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga
DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan
SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat
Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa
College of Education FileMaker Extraction and End-User Database Development , Andrew Tran
DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng
Theses/Projects/Dissertations from 2021 2021
A General Conversational Chatbot , Vipin Nambiar
Verification System , Paras Nigam
DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong
Ahmedabad City App , Rushabh Picha
COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy
ANDROID PARKING SYSTEM , Vishesh Reddy Sripati
Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou
Theses/Projects/Dissertations from 2020 2020
BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton
FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla
WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel
Theses/Projects/Dissertations from 2019 2019
REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu
EASY EXAM , SARTHAK DABHI
EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare
VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar
Theses/Projects/Dissertations from 2018 2018
USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani
California State University, San Bernardino Chatbot , Krutarth Desai
ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla
SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav
VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu
INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla
SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai
NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham
EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO
STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao
Theses/Projects/Dissertations from 2017 2017
CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud
MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam
WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal
MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari
WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla
Custom T-Shirt Designs , Ranjan Khadka
STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI
ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla
PIPPIN MACHINE , Kiran Reddy Pamulaparthy
SOUND MODE APPLICATION , Sindhuja Pogaku
I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar
COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra
NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang
AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou
Theses/Projects/Dissertations from 2016 2016
CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho
CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha
PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish
DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi
Theses/Projects/Dissertations from 2015 2015
APPLY DATA CLUSTERING TO GENE EXPRESSION DATA , Abdullah Jameel Abualhamayl Mr.
Density Based Data Clustering , Rayan Albarakati
Developing Java Programs on Android Mobile Phones Using Speech Recognition , Santhrushna Gande
THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME , Mehdi Peiravi
CALIFORNIA STATE UNIVERSITY SAN BERNARDINO WiN GPS , Francisco A. Ron
ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE , Lekhya Sai Sake
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M. Tech Computer Science Dissertation
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Related Papers
Algorithmica
Erik Krohn , Bengt J. Nilsson
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Gregorio Hernandez
This paper focuses on a variation of the Art Gallery problem that considers open edge guards. The “open” prefix means the endpoints of an edge where a guard is are not taken into account for visibility purposes. This paper studies the number of open edge guards that are sufficient and sometimes necessary to guard some classes of simple polygons.
Bengt J. Nilsson
A polygon P is x-monotone if any line orthogonal to the x-axis has a simply connected intersection with P. A set G of points inside P or on the boundary of P is said to guard the polygon if every point inside P or on the boundary of P is seen by a point in G. An interior guard can lie anywhere inside or on the boundary of the polygon. Using a reduction from Monotone 3SAT, we prove that interior guarding a monotone polygon is NP-hard. Because interior guards can be placed anywhere inside the polygon, a clever gadget is introduced that forces interior guards to be placed at very specific locations.
Computational Geometry
Klaus Kriegel
Approximability of Guarding Weak Visibility Polygons
Pritam Bhattacharya
The art gallery problem enquires about the least number of guards that are sufficient to ensure that an art gallery, represented by a polygon P, is fully guarded. In 1998, the problems of finding the minimum number of point guards, vertex guards, and edge guards required to guard P were shown to be APX-hard by Eidenbenz, Widmayer and Stamm. In 1987, Ghosh presented approximation algorithms for vertex guards and edge guards that achieved a ratio of O(log n), which was improved up to O(log log OPT) by King and Kirkpatrick (2011). It has been conjectured that constant-factor approximation algorithms exist for these problems. We settle the conjecture for the special class of polygons that are weakly visible from an edge and contain no holes by presenting a 6-approximation algorithm for finding the minimum number of vertex guards that runs in O(n 2) time. On the other hand, for weak visibility polygons with holes, we present a reduction from the Set Cover problem to show that there cannot exist a polynomial time algorithm for the vertex guard problem with an approximation ratio better than ((1 − ϵ)/12) ln n for any ϵ > 0, unless NP = P. We also show that, for the special class of polygons without holes that are orthogonal as well as weakly visible from an edge, the approximation ratio can be improved to 3. Finally, we consider the point guard problem and show that it is NP-hard in the case of polygons weakly visible from an edge.
Vertex Guarding in Weak Visibility Polygons
The art gallery problem enquires about the least number of guards that are sufficient to ensure that an art gallery, represented by a polygon P , is fully guarded. In 1998, the problems of finding the minimum number of point guards, vertex guards, and edge guards required to guard P were shown to be APX-hard by Eidenbenz, Widmayer and Stamm. In 1987, Ghosh presented approximation algorithms for vertex guards and edge guards that achieved a ratio of O(log n), which was improved upto O(log log OPT) by King and Kirkpatrick in 2011. It has been conjectured that constant-factor approximation algorithms exist for these problems. We settle the conjecture for the special class of polygons that are weakly visible from an edge and contain no holes by presenting a 6-approximation algorithm for finding the minimum number of vertex guards that runs in O(n^2) time. On the other hand, for weak visibility polygons with holes, we present a reduction from the Set Cover problem to show that there cannot exist a polynomial time algorithm for the vertex guard problem with an approximation ratio better than ((1 − \epsilon)/12) ln n for any \epsilon > 0, unless NP = P.
SIAM Journal on Discrete Mathematics
The Computer Journal
Giovanni Canales Hernandez
sharareh alipour
There is an old conjecture by Shermer [7] that in a polygon with n vertices and h holes, b + h 3 c vertex guards are sufficient to guard the entire polygon. The conjecture is proved for h = 1 by Shermer [7] and Aggarwal [5] seperately. In this paper, we prove a theorem similar to the Shermer’s conjecture for a special case where the goal is to guard the vertices of the polygon (not the entire polygon) which is equivalent to finding a dominating set for the visibility graph of the polygon. Our proof also guarantees that the selected vertex guards also cover the entire outer boundary (outer perimeter of the polygon) as well. 2012 ACM Subject Classification Theory of computation → Design and analysis of algorithms; Theory of computation → Computational geometry
Andrew Winslow
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Here are 30 public repositories matching this topic..., vatshayan / final-year-project-cryptographic-technique-for-communication-system.
Top B.tech/M.tech Final Year Project "Design and Analysis of Cryptographic Technique for Communication System" with Project Code, Report, PPT, Synopsis, IEEE Research Paper and HD Video Explanation
- Updated Dec 22, 2022
- Jupyter Notebook
Vatshayan / Final-Year-Blockchain-Voting-System
Blockchain based electronic voting system with Code, PPT, synopsis, Report, Research papers and full video explanation. Blockchain Final Year Project
- Updated Jan 20, 2023
Vatshayan / Face-recognition-Attendance-System-Project
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
- Updated Aug 12, 2022
Vatshayan / Final-Year-Machine-Learning-Stock-Price-Prediction-Project
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
- Updated Aug 30, 2022
Vatshayan / Malware-Detection-Using-Deep-Learning-Project
Malware-Detection-System-Using-Deep-Learning-Project. Project Includes PPT. Code, Explanation Video and Documents
Vatshayan / Final-year-Project-steganography
Steganography is the technique of hiding secret data within an ordinary, non-secret, file or message in order to avoid detection; the secret data is then extracted at its destination.
- Updated Aug 14, 2022
Vatshayan / Network-Intrusion-Detection-Project
Network Intrusion Detection System Project using Machine Learning with code and Documents
Projects-Developer / Drowsiness-Detector-College-Project
Drowsiness Detector using Python. College Project with all Documents
- Updated Jan 31, 2022
Vatshayan / Steganography-Website-Project
Final Year Steganography Project with Code and Project report
Vatshayan / Blockchain-and-Cryptography-Communication-System
Final Year Blockchain Project for Security of communication. [Security of Communication Increase through Use of Combination of Cryptography and Blockchain technology]
Vatshayan / Spam-Detection-Project
Spam Detection Project for college students with PPT, Report, Code, Datasets and Research papers
Vatshayan / Heart-disease-prediction-system-Project
Heart disease prediction system Project using Machine Learning with Code and Report
Vatshayan / Stock-Price-Prediction-Project
Final year College Project with Project Report, PPT, Synopsis and Code
Projects-Developer / Heart-Diseases-Prediction-Project
Final Year Project Heart Disease Prediction Project with all Documents.
- Updated Jan 12, 2022
Vatshayan / Disease-Prediction-Project-using-Machine-Learning-Project
Diseases Prediction System though Machine Learning with code and documents
- Updated Dec 29, 2022
Vatshayan / Co2-Emission-Prediction-Using-Machine-Learning
Final year Co2 Emission Prediction Using Machine Learning Project with source code and documents. Btech Final Year Project
- Updated Feb 2, 2023
Vatshayan / Image-Recognition-Project
Beautiful Image recognition and Classification Project for final year college students.
- Updated Aug 25, 2021
Vatshayan / Decentrilized-Blockchain-Blog-System-Project
Decentrilized Blockchain Blog System Project with code and Documents
- Updated Apr 7, 2024
Projects-Developer / AI-Chatbot-Final-Year-Project
AI chatbot used to communication with End user through online on platforms such websites and application. Btech college project.
- Updated May 4, 2022
Vatshayan / Image-Chain-Blockchain-Project
Final Year ImageChain Blockchain Project is application of Blockchain. Project Include Code, Documents with Video Explanation
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Utilizing Graph Structure for Machine Learning, Stefan Dernbach, Computer Science. PDF. Enhancing Usability and Explainability of Data Systems, Anna Fariha, Computer Science. PDF. Algorithms to Exploit Data Sparsity, Larkin H. Flodin, Computer Science. PDF. 3D Shape Understanding and Generation, Matheus Gadelha, Computer Science. PDF
PDF. Keyless Anti-Jamming Communication via Randomized DSSS, Ahmad Alagil. PDF. Active Deep Learning Method to Automate Unbiased Stereology Cell Counting, Saeed Alahmari. PDF. Composition of Atomic-Obligation Security Policies, Yan Cao Albright. PDF. Action Recognition Using the Motion Taxonomy, Maxat Alibayev. PDF
Theses/Dissertations from 2020. PDF. Multiple Diagram Navigation, Hisham Benotman (Dissertation) PDF. Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective, Daniel Steven Connelly (Thesis) PDF. Extensible Performance-Aware Runtime Integrity Measurement, Brian G. Delgado (Dissertation) PDF.
m.tech Dissertation Topics for Computer Science - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you've landed on this post, chances are you're looking for a computer science-related research topic, but aren't sure where to start.Here, we'll explore a variety of CompSci & IT-related research ideas and topic thought-starters ...
Thesis Topics for Computer Science m Tech - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
PDF. COMPUTER VISION IN ADVERSE CONDITIONS: SMALL OBJECTS, LOW-RESOLUTION IMAGES, AND EDGE DEPLOYMENT, Raja Sunkara. Theses from 2022 PDF. Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers, Sainath Sanga. PDF. Man-in-the-Middle Attacks on MQTT based IoT networks, Henry C. Wong
Theses/Dissertations from 2023. PDF. Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis, Amreen Anbar. PDF. Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces, Sepehr Asgarian. PDF.
MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.
PDF. Sales and Stock Management System, Rashmika Gaddam Ms. PDF. CONTACTLESS FOOD ORDERING SYSTEM, Rishivar Kumar Goli. PDF. RESTAURANT MANAGEMENT WEBSITE, Akhil Sai Gollapudi. PDF. DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION, poojitha gutha. PDF. DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA, Rutuja ...
Writing a Dissertation for a BSc. in Computer Science Robert S. Laramee Visual and Interactive Computing Group Department of Computer Science Swansea University, Wales UK∗ Abstract These detailed guidelines attempt to explain the mechanics of writing a third year project disser-tation in Computer Science.
How to search for Harvard dissertations. DASH, Digital Access to Scholarship at Harvard, is the university's central, open-access repository for the scholarly output of faculty and the broader research community at Harvard.Most Ph.D. dissertations submitted from March 2012 forward are available online in DASH.; Check HOLLIS, the Library Catalog, and refine your results by using the Advanced ...
m Tech Dissertation Topics in Computer Science - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
M. Tech. (Computer Science) Dissertation Series Art Gallery Problem for Monotone Polygons a dissertation submitted in partial fulfillment of the requirement for the M. Tech. (Computer Science) degree of the Indian Statistical Institute By Diptapriyo Majumdar Roll No: CS1107 under the supervision of Prof. Subhas C. Nandy Advanced Computing and ...
PDF | On May 19, 2015, Kamta Nath Mishra and others published M Tech Computer Science thesis on Veins Based Personal Identification | Find, read and cite all the research you need on ResearchGate
Data Mining MTech Project Topics 2024. 1. Data Mining Based Marketing Decision Support System Using Hybrid Machine Learning Algorithm. Get Help. 2. Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems. Get Help. Explore more Data Mining Topics.
m Tech Computer Science Dissertation Topics - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
Thesis for: Masters of Science - Computer Science - WITS - School of Computer Science & Applied Mathematics; Advisor: Prof Turgay Celik (University of the Witwatersrand); Examiner: Prof Abejide ...
By Year Wise M.Tech Project Reports 2019-2021 M.Tech Project Reports 2018-2020 M.Tech Project Reports 2017-2019 M.Tech Project Reports 2016-2018.
Dissertation Topics for Mtech Computer Science in Data Mining - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
Add this topic to your repo. To associate your repository with the mtech-project topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Thesis Topics Computer Science Mtech - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
famous Ad-hoc routing protocol Ad Ho c On Demand Distance V ector Routing. Protocol (AODV).The broadcasting nature of the sensors presents a n umber of. security threats to this kind of netw ork ...