Theses/Dissertations from 2024
Adaptive Model Selection in Stock Market Prediction: A Modular and Scalable Big Data Analytics Approach, MohammadEhsan Akhavanpour
Knowledge Informed Fake News Detection using Large Language Models, Jess Joseph Joseph Benny
Adila: Fairness-informed Collaborative Team Formation, Hamed Ghasr Loghmani
City Guarding with Cameras of Bounded Field of View, Mohammad Hashemi
Automatic Construction of Ontology with Public-Domain Datasets for Personalized Tutoring with ECA, Asim Jamal
Similarity-Based Dual View Heterogenous Graph Neural Network Method for Drug Adverse Side Effect Prediction, Mayank Kumar
An SOA-Based Approach of Adaptive E-Tutoring Systems, Parth Hetalkumar Mistry
XLNet4Rec: Modeling user’s long-term and short-term interests in e-commerce recommender systems, Namarta Vij
Theses/Dissertations from 2023
Tree-Based Approaches for Predicting Financial Performance, Ahmed Shafeek Abouhassan
Trustworthy Decentralized Last Mile Delivery Framework Using Blockchain, Ala' Alqaisi
Advanced Deep Learning Multivariate Multi-Time Series Framework for a Novel COVID-19 Dataset, SWASTIK BAGGA
Cross-Blockchain Technology for an Interoperable and Scalable Digital Contact Tracing, Farbod Behnaminia
A Decentralized Data Evaluation Technique in Federated Learning, Laveen Bhatia
Transmission Power based Congestion Control using Q-Learning algorithm in Vehicular Ad Hoc Networks (VANET), Pooja Chandrasekharan
Temporal Neural Team Formation with Negative Sampling, Seyed Sobhan Dashti
Comparative Analysis of Membership Inference Attacks in Federated Learning, Saroj Dayal
Approximating Average Bounded-Angle Minimum Spanning Trees, Patrick Stephen Devaney
Many-to-One: Transformer-based Unsupervised Anomaly Detection and Localization on Industrial Images, Naga Jyothirmayee Dodda
Constructing Adversarial Examples in Question-Answering Systems, Vishakha Gautam
A deep learning approach for Task Recognition of Industrial workers and RULA score calculation, Sonaila Hussain
Mitigating The Shortcomings of Language Models: Strategies For Handling Memorization & Adversarial Attacks, Aly Kassem
Learning Networks with Attention Layers for Team Recommendation, Sagar Kaw
Online Sexual Predator Detection, Muhammad Khalid
Performance Enhancement of Unified Recommendation and Knowledge Graph Completion Learning by Relation Rotation, Lama Khalil
Guided Rotational-Based Graph Embeddings for Error Detection in Noisy Knowledge Graphs, Regina Khalil
The Minimum Consistent Spanning Subset Problem on Trees, Parham Khamsepour
An Approach of Lip Synchronization with Facial Expression Rendering for an ECA, Mohammed Maaz Mohammed Shoieb Khan
Practical Secure Aggregation in Federated Learning Using Additive Secret Sharing, Hamid Fazli Khojir
Inference-Based Personalized Recommendation Via Uncertainty-Aware Dual Actor-Critic Using Reinforcement Learning, Shanu Kumar
Matches Made in Heaven or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan
GraphWords: Enhancing Word Vectors using Graphs, Mrulay Sureshbhai Mistry
Face Image Generation Using Knowledge Transfer and Self-Attention, Ehsan Ur Rahman Mohammed
Extending the work of DT-Fixup: Examining the Effects of PowerNorm and MADGRAD Optimization on DT-Fixup Performance, Prem Shanker Mohan
Deep Learning Based Vehicle Classification, Ragheb Barkat Muhib
Reinforcement Learning-Based Data Rate Congestion Control for Vehicular Ad-Hoc Networks, Gnana Shilpa Nuthalapati
Utilizing Deep Learning for Enhancing Performance on Encrypted Stock Market Data, Surajsinh Prakashchandra Parmar
Classifying Galaxy Images Using Improved Residual Networks, Jaykumar Patel
Anomaly Detection in Large Datasets: A Case Study in Loan Defaults, Rayhaan Pirani
An End-to-End Hybrid Approach to Automatic and Semi-Automatic Image Annotation, Roisul Islam Rumi
DeBERTNeXT: A Multimodal Fake News Detection Framework, Kamonashish Saha
Geo-location informed Team Formation using GNN, Karan Saxena
Reducing Model Memorization to Mitigate Membership Inference Attacks, Sheikhjaberi
Comparative Study of Generative Models for Text-to-Image Generation, Nazia Siddiqui
Multi-Data Source Recommendations with Derived Sequential Pattern Mining, Burhan Uddin
Personalized ECA Tutoring with Self-Adjusted POMDP Policies and User Clustering, Ashwitha Vichuly Jawahar
Webcam-Based Optical Mark Reader for Grading Assessments, Muhammad Fahad Zafar
Theses/Dissertations from 2022
Convolutional Neural Networks for Breast Ultrasound Image Segmentation, Yahya Abdullah Alzahrani
Identifying Network Biomarkers for Each Breast Cancer Subtypes Along with Their Effective Single and Paired Repurposed Drugs Using Network-Based Machine Learning Techniques, Forough Firoozbakht
SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication, Sheena Hora
Graph Realizability and Factor Properties Based on Degree Sequence, Daniel John
Developing a Robust Defensive System Against First Order Adversarial Attacks Using Siamese Neural Network Methods, Ahamd Khalil
An Empirical Analysis of AutoMl Tools and Techniques with Automated Feature Engineering, Kevin Shi
Identification of Lung Nodule Using Hierarchical Graph-Based Clustering and Multi-Level Thresholding, Yash Trivedi
Building Competent Teams of Experts Based on Project Completion Time and Skill Levels, Yalda Yazdanpanah
A Blockchain-Based Privacy-Preserving Physical Delivery System, Shahin Zanbaghi
Theses/Dissertations from 2021
Content-Based Image Retrieval using Hierarchical Decomposition of Feature Descriptors, Eisa Adil
A Network-Based Approach for Computational Drug Repurposing on Cancer Data, Ann Reba Thomas Alexander
Efficient Clustering via Kernel Principal Component Analysis and Optimal One-dimensional Thresholding, Nachiket Bhide
A Study of Some Transportation Networks from a Complex Network Perspective Chakrabarthy, Pooja., Pooja Chakrabarthy
Packing Non-Self-Crossing Edge-Disjoint Spanning Paths into a Point Set, Rishav Chatterjee
Live Video and Image Recolouring for Colour Vision Deficient Patients, Sami Ali Hussain Ali Choudhry
Identification of Cell Types in scRNA-seq Data via Enhanced Local Embedding and Clustering, Saiteja Danda
DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification, Alexandru Filip
Marijuana Intoxication Detection Using Convolutional Neural Network, Raj Gadhiya
Transmission Data Rate Control based Mechanism for Congestion Control in Vehicular Ad Hoc Networks (VANET), Srihari Jayachandran
A Deep Learning Approach for Multi-Omics Data Integration to Diagnose Early-Onset Colorectal Cancer, Noor Kammonah
Experimental Study of Evolving Communities in Online Social Networks, Pallavi Kaul
A Framework to Study the Impact of Interventions on Social Isolation during Pandemics using Multi-Agent Simulation, Simranpreet Kaur
A Framework to Study the Impact of Interventions on Social Isolation During Pandemics Using Multi-Agent Simulation, Simranpreet Kaur
A Novel Computational Model for Social Isolation Detection in Social Networks, Saghi Khani
Neural Network Based Approach for Detecting Location Spoofing in Vehicular Communication, Smarth Kukreja
Multi-Word Terminology Extraction and Its Role in Document Embedding, Jayanth Prakash Kulkarni
Improved GloVe Word Embedding Using Linear Weighting Scheme for Word Similarity Tasks, Qinglan Lu
Improved GloVe Word Embedding Using Linear Weighting Scheme for Word Similarity Tasks, Quinlan Lu
A Secure Proof of Delivery Scheme for Crowdsourced Last Mile Delivery Using Blockchain, Vipul Malhotra
Mining Twitter Sequences of Product Opinions with Multi-Word Aspect Terms, Vinay Kiran Manjunath
Social Network Analysis: A Machine Learning Approach, Bonaventure Chidube Molokwu
Discovering High-Profit Product Feature Groups by mining High Utility Sequential Patterns from Feature-Based Opinions, Priyanka Motwani
Generating graphs from degree sequence, Amreeth Rajan Nagarajan
Comparative Study of Reinforcement Learning Methods in Path Planning, Daniel Obawole
Cluster Hire in Social Networks Using Modified Weighted Structural Clustering Algorithm for Networks (MWSCAN), Harshil Patal
Cluster Hire in Social Networks Using Modified Weighted Structural Clustering Algorithm for Networks (MWSCAN), Harshil Patel
Neural Network-based Multi-Task Learning for Product Opinion Mining, Manil Patel
Scalable, Efficient and Precise Natural Language Processing in the Semantic Web, Shane Michael Peelar
A Network-Based Approach for Computational Drug Repurposing on Cancer Data, Ann Reba and Thomas Alexander
Active Community Opinion Network Mining and Maximization through Social Networks Posts, Mayank Semwal
HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph, Akshay Mukundbhai Shah
Position Falsification Detection in VANET with Consecutive BSM Approach using Machine Learning Algorithm, Aekta Sharma
An Enhancement to CNN Approach with Synthesized Image Data for Disease Subtype Classification, Narider Pal Singh
Empirical Performance Evaluation of Consensus Algorithms in Permissioned Blockchain Platforms, Shiv Sondhi
Bridging the Simulation-to-Reality Gap: Adapting Simulation Environment for Object Recognition, Hardik Yogesh Sonetta
Vehicle Authentication in Vehicular Ad-hoc Network using RSU Based Approach, Steffie Maria Stephen
Meta-Heuristic Approach for Course Scheduling Problem, Amanta Sunny
Color and morphological features extraction and nuclei classification in tissue samples of colorectal cancer, Sameer Akhtar Syed
H-MPGWO: A Hierarchical Multi-Population Grey Wolf Optimization Framework, Nimish Verma
Gamification Platform for Social Engineering Training and Awareness, Rui Xu