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

Pal, Sauryadeep and Tan, Wooi Haw and Foo, Yee Loo (2023) Privacy-Focused Edge AI-on-IoT with Federated Learning. In: 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 02-03 December 2023, Kuala Lumpur, Malaysia.

Rabbani, Nahin Ar and Foo, Yee Loo (2022) Home Automation to Reduce Energy Consumption. International Journal of Technology, 13 (6). p. 1251. ISSN 2086-9614

Foo, Yee Loo (2021) Secrecy capacity and energy efficiency in D2D-enabled cellular networks. Telecommunication Systems. ISSN 1018-4864

Foo, Yee Loo (2021) Harmonious Coexistence of IEEE 802.11af Wireless LAN and Digital TV. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 38 (2). pp. 239-244. ISSN 0256-4602

Foo, Yee Loo (2021) A Spectrum Sharing Model that Counters Eavesdropping: An Energy Efficiency View. Journal of Harbin Institute of Technology (New Series), 28 (2). pp. 960-966. ISSN 1005-9113

Foo, Yee Loo (2021) Wireless power transferable from unmanned aerial vehicle. Telecommunication Systems. pp. 1-6. ISSN 1018-4864

Foo, Yee Loo (2020) Harmonious Coexistence of IEEE 802.11af Wireless LAN and Digital TV. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India). pp. 1-7. ISSN 0256-4602

Ng, Chin Kit and Foo, Yee Loo and Cheong, Soon Nyean (2020) Low Latency Deep Learning Based Parking Occupancy Detection By Exploiting Structural Similarity. In: Computational Science and Technology. Lecture Notes in Electrical Engineering (Computational Science and Technology), 603 . Springer Verlag, pp. 247-256. ISBN 9789811500572

Foo, Yee Loo (2020) Operating white space devices in the DTV service area. ICT Express, 6 (1). pp. 7-10. ISSN 2405-9595

Ng, Chin Kit and Foo, Yee Loo and Cheong, Soon Nyean (2020) Parking Occupancy Detection: A Lightweight Deep Neural Network Approach. In: Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering (Advances in Computer Science and Ubiquitous Computing), 536 . Springer, pp. 453-458. ISBN 9789811393402

Foo, Yee Loo (2020) A spectrum sharing model that counters eavesdropping. Telecommunication Systems, 73 (2). pp. 183-188. ISSN 1018-4864

Foo, Yee Loo and Ng, Chin Kit and Cheong, Soon Nyean (2019) Low Latency Deep Learning Based Parking Occupancy Detection By Exploiting Structural Similarity. In: Computational Science and Technology. Lecture Notes in Electrical Engineering. Springer, pp. 247-256. ISBN 978-981-15-0058-9

Foo, Yee Loo (2019) A spectrum sharing model that counters eavesdropping. Telecommunication Systems, 2019. pp. 1-6. ISSN 1018-4864

Foo, Yee Loo (2019) Energy Efficiency of Cooperative Relay and Spectrum Sharing. In: 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), 28-30 Aug. 2019, Singapore.

Foo, Yee Loo (2019) Energy Efficiency of Cooperative Relay in a Spectrum Sharing Network. In: 2019 25th Asia-Pacific Conference on Communications (APCC), 6-8 Nov. 2019, Ho Chi Minh City, Vietnam.

Foo, Yee Loo (2019) Sensing Criteria of TV White Space Devices under Nakagami-Rice Fading. In: 25th Asia-Pacific Conference on Communications (APCC) 2019, 6-8 September 2019, Eastin Grand Hotel Saigon, Ho Chi Minh City, Vietnam.

Foo, Yee Loo (2018) Countering Eavesdropping Using Cognitive Radio - A New Perspective on Spectrum Sharing. In: Proceedings of 2018 Asia-Pacific Microwave Conference, 6-9 Nov 2018, Kyoto, Japan.

Foo, Yee Loo and Takada, Junichi (2017) Aggregate Interference of Equidistant Cognitive Radios. Wireless Personal Communications, 92 (3). pp. 1053-1069. ISSN 1572-834X

Foo, Yee Loo and Takada, Junichi (2016) Coexistence of DTV and TV white space systems. International Journal of Communication Systems. ISSN 1074-5351

Foo, Yee Loo (2016) Interference analysis of cognitive radio networks. International Journal of Communication Systems, 30 (8). pp. 1-16. ISSN 1074-5351

Foo, Yee Loo (2016) Dominant Interferers in Cognitive Radio Network. Wireless Personal Communications, 91 (3). pp. 1271-1284. ISSN 0929-6212

Foo, Yee Loo (2003) Handover Management In Mobile Satellite Systems. Masters thesis, Multimedia University.

Muhammad, Umair and Tan, Wooi Haw and Foo, Yee Loo LeafNet2: A lightweight deep learning model for the classification of leaf diseases. None. (Unpublished)