Altabaji, Wassem I. A. E. and Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo and Ooi, Chee Pun (2024) Comparative Analysis of Transfer Learning, LeafNet, and Modified LeafNet Models for Accurate Rice Leaf Diseases Classification. IEEE Access, 12. pp. 36622-36635. ISSN 2169-3536

Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2024) Dynamic Federated Learning Aggregation for Enhanced Intrusion Detection in IoT Attacks. In: 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 19-22 February 2024, Osaka, Japan.

Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2024) Optimized 1D Convolutional Neural Network for Efficient Intrusion Detection in IoT Networks. In: 2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA), 03-05 September 2024, Kuala Lumpur, Malaysia.

Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2023) Challenges in Federated Learning for Resource-Constrained IoT Environments: Energy Efficiency, Privacy, and Statistical Heterogeneity. In: 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 02-03 December 2023, Kuala Lumpur, Malaysia.

Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2023) Efficient Malware Classification with Spiking Neural Networks: A Case Study on N-BaIoT Dataset. In: 2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN), 4 - 7 July 2023, Paris, France.

Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2023) Network Intrusion Detection using Dynamic Weighted Aggregation Federated Learning. In: 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE).

Pal, Sauryadeep and Umair, Muhammad and Tan, Wooi Haw and Foo, Yee Loo (2023) Practical Evaluation of Federated Learning in Edge AI for IoT. JOIV : International Journal on Informatics Visualization, 7 (3-2). p. 2115. ISSN 2549-9610