Computer Science Theses | School of Computing | Southern Illinois University Carbondale
 

Follow

Theses from 2024

PDF

Porosity Prediction and Estimation in Metal Additive Manufactured Parts: A Deep Learning Approach, Manoj Aluri

PDF

Consensus for creating light weight blockchain for IoT, Niharika Reddy Bommireddy

PDF

AN EMPIRICAL STUDY OF AN INNOVATIVE CLUSTERING APPROACH TOWARDS EFFICIENT BIG DATA ANALYSIS, Jacob Robert Bowers

PDF

ADVANCEMENTS AND CHALLENGES IN THE INTERSECTION OF MACHINE LEARNING AND IOT SECURITY, Suryapunith Chithaluri

PDF

REVOLUTIONIZING URBAN TRAFFIC MANAGEMENT USING DEEP REINFORCEMENT LEARNING, Tanvi Reddy Dasaripally

PDF

ENHANCING AUTONOMOUS FOOD DELIVERY WITH IOTA BLOCKCHAIN, Shalini Donthireddy

PDF

Iot Reliance on cloud computing and fog computing, Venkata Sai Swaroop Kakuru

PDF

ENHANCING DELIVERY LOGISTICS USING BLOCKCHAIN AND MACHINE LEARNING / SMART DELIVERY QUEST, LaxmaReddy Kandula

PDF

SIMULATION OF AUTONOMOUS MOBILE VEHICLES USING FEDERATED LEARNING, Satish Kumar Chary Paloju

PDF

Harnessing Federated Learning for Stock Analysis and Portfolio Optimisation, Nishanth Sagar Panthangi

PDF

EXCHANGING THE RESOURCES WITHIN THE INTERNET OF THINGS USING BLOCKCHAIN TECHNOLOGY, Shiva Teja Ravula

PDF

Integration of Blockchain technology in industrial applications, Sanjana Sakinala

PDF

A LIGHTWEIGHT END-TO-END ENCRYPTION ALGORITHM FOR IOT DATA INTEGRATION: BLOCKCHAIN FRAMEWORK, Manikumar Siddireddy

PDF

ASSESSING VULNERABILITY IN VARIATIONAL AUTOENCODER GANS: INSIGHTS FROM WHITE BOX AND BLACK BOX ATTACK SCENARIOS, Srivatsa Tangirala

PDF

Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation, Saika Zaman