Convolutional Neural Network or Vision Transformer? Benchmarking Various Machine Learning Models for Distracted Driver Detection. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow (TENCON, 2021)

YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang; Keh Kok Yong (Remote. Sens., 2021)

Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang; Bhuvendhraa Rudrusamy (Sensors, 2021)

Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021). - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang (Eng. Appl. Artif. Intell., 2022)