On the Use of Manchester Violation Test in Detecting Collision. - Yee-Loo Foo; Hiroyuki Morikawa (ICOIN, 2007)

Unlicensed transmissions in TV white spaces and its impacts on the incumbent services. - Yee-Loo Foo (IEEE Trans. Consumer Electron., 2011)

Deployment of wireless regional area network and its impact on DTV service coverage. - Yee-Loo Foo (Ann. des Télécommunications, 2013)

Performance of Cooperative Spectrum Sensing Under Rician and Nakagami Fading. - Yee-Loo Foo (Wirel. Pers. Commun., 2013)

Cooperative Sensing in Wireless Regional Area Network to Improve DTV Coverage Prediction. - Yee-Loo Foo (Wirel. Pers. Commun., 2013)

Dominant Interferers in Cognitive Radio Network. - Yee-Loo Foo (Wirel. Pers. Commun., 2016)

Interference analysis of cognitive radio networks. - Yee-Loo Foo (Int. J. Commun. Syst., 2017)

Coexistence of DTV and TV white space systems. - Yee-Loo Foo; Jun-ichi Takada (Int. J. Commun. Syst., 2017)

Aggregate Interference of Equidistant Cognitive Radios. - Yee-Loo Foo; Jun-ichi Takada (Wirel. Pers. Commun., 2017)

Lightweight Deep Neural Network Approach for Parking Violation Detection. - Chin-Kit Ng; Soon-Nyean Cheong; Yee-Loo Foo (ICNCC, 2018)

Sensing Criteria of TV White Space Devices under Nakagami-Rice Fading. - Yee-Loo Foo (APCC, 2019)

Energy Efficiency of Cooperative Relay in a Spectrum Sharing Network. - Yee-Loo Foo (APCC, 2019)

Energy Efficiency of Cooperative Relay and Spectrum Sharing. - Yee-Loo Foo (APWCS, 2019)

Operating white space devices in the DTV service area. - Yee-Loo Foo (ICT Express, 2020)

A spectrum sharing model that counters eavesdropping. - Yee-Loo Foo (Telecommun. Syst., 2020)

Secrecy Capacity and Energy Efficiency of Spectrum Sharing Networks Incorporating Physical Layer Security. - Yee-Loo Foo (CoRR, 2021)

Wireless power transfer with transmit diversity. - Yee-Loo Foo (F1000Research, 2021)

Secrecy capacity and energy efficiency in D2D-enabled cellular networks. - Yee-Loo Foo (Telecommun. Syst., 2021)

Wireless power transferable from unmanned aerial vehicle. - Yee-Loo Foo (Telecommun. Syst., 2021)

Efficient Malware Classification with Spiking Neural Networks: A Case Study on N-BaIoT Dataset. - Muhammad Umair; Wooi-Haw Tan; Yee-Loo Foo (ICUFN, 2023)

Dynamic Federated Learning Aggregation for Enhanced Intrusion Detection in IoT Attacks. - Muhammad Umair; Wooi-Haw Tan; Yee-Loo Foo (ICAIIC, 2024)

Optimized 1D Convolutional Neural Network for Efficient Intrusion Detection in IoT Networks. - Muhammad Umair; Wooi-Haw Tan; Yee-Loo Foo (ICSIPA, 2024)

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