Applied ML & Foundational Models

1. Hyb-KAN ViT: Hybrid Kolmogorov Arnold Networks Augmented Vision Transformer

2. L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification

3. Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms using U-Net Architecture

Healthcare AI

4. Optimization of Machine Learning Models Through Quantization and Data Bit Reduction in Healthcare Datasets

5. Fairmed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data

6. Application of Optimized Artificial Neural Networks to Enhance Medical Data Interpolation

Network Security & Remote Sensing

7. Adversarial-Ensemble Kolmogorov Arnold Networks for Enhancing Indoor Wi-Fi Positioning: A Defensive Approach Against Spoofing and Signal Manipulation Attacks

8. Advancing Adversarial Detection of Anomalous Wi-Fi Activity Through Residual Generative Adversarial Networks: A Novel Approach for Robust Wireless Network Security

9. Enhancing Remote Sensing Satellite Performance for Defense Applications in India using ML, DL, and NavIC

10. Machine Learning Techniques and Routing Protocols in 5G and 6G Mobile Network Communication System - An Overview