Fath U Min Ullah

27 papers and 765 indexed citations i.

Fath U Min Ullah has authored 27 papers that have received a total of 765 indexed citations. This includes 16 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Energy Load and Power Forecasting (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (8 papers). Fath U Min Ullah is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Video Surveillance and Tracking Methods (8 papers) and collaborates with scholars based in South Korea, United Kingdom and Brazil. Fath U Min Ullah's co-authors include Sung Wook Baik, Noman Khan, Mi Young Lee, Khan Muhammad and Amin Ullah and has published in prestigious journals such as Expert Systems with Applications, Energy and Buildings and Sensors