Theses/Dissertations from 2022
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
Efficient Heuristic Solutions to Scheduling Online Courses, Rida Zaidi
Study of Heterogeneous Academic Networks, Fen Zhao
Theses/Dissertations from 2020
An Approach of SLA Violation Prediction and QoS Optimization using Regression Machine Learning Techniques, Saurav Agarwal
A P2P Optimistic Fair Exchange (OFE) Scheme For Personal Health Records Using Blockchain Technology, Nasim AlGoni
Emerging & Unconventional Malware Detection Using a Hybrid Approach, Farhan Mahmood Babar
Machine Learning Interpretability in Malware Detection, William Ryan Brigugilio
An Approach of QoS Evaluation for Web Services Design With Optimized Avoidance of SLA Violations, Peng Cheng
Adaptive Transmission Power Level with Vehicle Speed Approximation of Density for VANET Congestion Control, Caitlin Facchina
Author Name Disambiguation Using Co-training, Yan Gao
Secure Identity Management Framework for Vehicular Ad-hoc Network using Blockchain, Sonia Alice George
Molecular Distance Geometry Approach to solve Alpha Carbon Trace Problem, Lokesh Gupta
Machine Learning Approaches for Identifying Cancer Biomarkers Using Next Generation Sequencing, Osama Hamzeh
Spiking Neural Networks: Modification and Digital Implementation, Moslem Heidarpur
Modeling the Evolution of Agent Capabilities and Specialization, Radhika Jayaraman
A Taxonomy of Sequential Patterns Based Recommendation Systems, Hemni Sri Rajeswari Karlapalepu
Improving Lookahead search for grid-based pathfinding, Shrijan Karmacharya
Weakly Chordal Graphs: An Experimental Study, Sudiksha Khanduja
Finding Binding Sites in ChIP-Seq Data via a Linear-time Multi-level Thresholding Algorithm, Musab Mushtaque Naik
Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks, Ashraf Neisari
Parallel Implementation of Privacy Preserving Multi-Layer Neural Networks, Dipeshkumar Shaileshkumar Patel
A Simulation Environment with Reduced Reality Gap for Testing Autonomous Vehicles, Kaival Kamleshkumar Patel
Demilitarized Zone: An Exceptional Layer of Network Security to Mitigate DDoS Attack, Manan Patel
Machine Learning Approaches for Breast Cancer Survivability Prediction, Quang Huy Pham
Convolutional Neural Network for Link Prediction Based on Subgraphs in Social Networks, Kumaran Ragunathan
Chordal Graphs and Their Relatives: Algorithms and Applications, Md Zamilur Rahman
Towards a Framework for Preserving Privacy in VANET, Ikjot Saini
A Feature Based Model for Negative Sign Prediction in Signed Social Networks, Shikhar Sanghvi
Investigation of Team Formation in Dynamic Social Networks, Kalyani Selvarajah
Towards Engineering Reliable Keystroke Biometrics Systems, Anjali Parag Shah
Multimodal fake news detection using a Cultural Algorithm with situational and normative knowledge, Priyanshi Virendra Shah
Scaling Private Collaborated Consortium Blockchains Using State Machine Replication Over Random Graphs, Parth Shukla
Performance Evaluation of Pathfinding Algorithms, Harinder Kaur Sidhu
Extending APEx (Accuracy-Aware Differentially Private Data Exploration) to Multiple Table Queries, Karmanjot Singh
Generating Chordal Graphs with few Fill-in Edges: An Experimental Study, Aayushi Srivastava
Genetic Algorithm based Convolutional Neural Network for Few Shot Learning in Disease type prediction on RNA-Seq Data, Kowshik Sharan Subramanian
Lip Synchronization for ECA Rendering with Self-Adjusted POMDP Policies, Tristan Szucs
Impact of Design Patterns on Code Quality in Blockchain-based Applications, Vijay Rajasekar Thirulokachander
Network-based Computational Drug Repurposing and Repositioning for Breast Cancer Disease, Pavithra Ulaganathan
Theses/Dissertations from 2019
Variational Autoencoder Based Estimation Of Distribution Algorithms And Applications To Individual Based Ecosystem Modeling Using EcoSim, Sourodeep Bhattacharjee
Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation, Raj Bhatta
Obstacle and Change Detection Using Monocular Vision, Ryan Bluteau
Using Multi Population Cultural Algorithms to prune Deep Neural Networks, Anish Saurabh Desai
COMPUTATIONAL DRUG REPURPOSING FOR BREAST CANCER SUBTYPES, Roopesh Dhara
Scalable Methods and Algorithms for Very Large Graphs Based on Sampling, Roohollah Etemadi
iSOM-GSN: An Integrative Approach for Transforming Multi-omic Data into Gene Similarity Networks via Self-organizing Maps, Nazia Fatima
Privacy-Preserving Statistical Analysis of Health Data Using Paillier Homomorphic Encryption and Permissioned Blockchain, Mahdi Ghadamyari
A deep learning approach to real-time short-term traffic speed prediction with spatial-temporal features, Sindhuja Gutha
Dynamic Scene Creation from Text, Havish Kadiyala
An Approach Of Automatic Reconstruction Of Building Models For Virtual Cities From Open Resources, Sumit Khairnar
Building Teams of Experts using Integer Linear Programming, Sagarika Narendra Khandelwal
Robot Path Planning with IGA-MMAS and MMAS-IGA, Padma Priya Kondepudi
Capturing Word Semantics From Co-occurrences Using Dynamic Mutual Information, Yaxin Li
Improving Document Representation Using Retrofitting, Zeeshan Mansoor