![]() | Up a level |
Koay, Hong Vin and Chuah, Joon Huang and Chow, Chee-Onn and Chang, Yang-Lang (2022) Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021). Engineering Applications of Artificial Intelligence, 115. ISSN 0952-1976, DOI https://doi.org/10.1016/j.engappai.2022.105309.
Chang, Yang-Lang and Tan, Tan-Hsu and Chen, Tsung-Hau and Chuah, Joon Huang and Chang, Lena and Wu, Meng-Che and Tatini, Narendra Babu and Ma, Shang-Chih and Alkhaleefah, Mohammad (2022) Spatial-temporal neural network for rice field classification from SAR Images. Remote Sensing, 14 (8). ISSN 2072-4292, DOI https://doi.org/10.3390/rs14081929.
Koay, Hong Vin and Chuah, Joon Huang and Chow, Chee-Onn and Chang, Yang-Lang and Yong, Keh Kok (2021) YOLO-RTUAV: Towards real-time vehicle detection through aerial images with low-cost edge devices. Remote Sensing, 13 (21). ISSN 2072-4292, DOI https://doi.org/10.3390/rs13214196.
Koay, Hong Vin and Chuah, Joon Huang and Chow, Chee-Onn and Chang, Yang-Lang and Rudrusamy, Bhuvendhraa (2021) Optimally-Weighted Image-Pose Approach (OWIPA) for distracted driver detection and classification. Sensors, 21 (14). ISSN 1424-8220, DOI https://doi.org/10.3390/s21144837.
Chang, Yang-Lang and Tatini, Narendra Babu and Chen, Tsung-Hau and Wu, Meng-Che and Chuah, Joon Huang and Chen, Yi-Ting and Chang, Lena (2022) Convlstm Neural Network for Rice Field Classification from Sentinel-1A Sar Images. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, 17-22 July 2022, Kuala Lumpur.