NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains. - Kumar Saurabh; Tanuj Kumar; Uphar Singh; O. P. Vyas 001; Rahamatullah Khondoker (AIIoT, 2022)

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. - Kumar Saurabh; Saksham Sood; P. Aditya Kumar; Uphar Singh; Ranjana Vyas; O. P. Vyas 001; Rahamatullah Khondoker (AIIoT, 2022)

GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection. - Kumar Saurabh; Ayush Singh; Uphar Singh; O. P. Vyas 001; Rahamatullah Khondoker (COINS, 2022)

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. - Uphar Singh; Kumar Saurabh; Neelaksh Trehan; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

Agricultural Plantation Classification using Transfer Learning Approach based on CNN. - Uphar Singh; Tushar Musale; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. - Uphar Singh; Yash Hoskere; Nachiket Tapas; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 2023)

Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining. - Uphar Singh; Deepak Gajjala; Rahamatullah Khondoker; Harshit Gupta; Ayush Sinha; O. P. Vyas 001 (LION, 2023)

Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction. - Uphar Singh; Sanghmitra Tamrakar; Kumar Saurabh; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 2024)