Muhammad Fazal Ijaz
About
Muhammad Fazal Ijaz has authored 86 papers that have received a total of 2.9k indexed citations.
This includes 34 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 16 papers in Computer Networks and Communications. The topics of these papers are IoT and Edge/Fog Computing (11 papers), AI in cancer detection (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Muhammad Fazal Ijaz is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), AI in cancer detection (10 papers) and Anomaly Detection Techniques and Applications (8 papers) and collaborates with scholars based in South Korea, India and Saudi Arabia. Muhammad Fazal Ijaz's co-authors include Jana Shafi, Marcin Woźniak, Kavita Kavita, Sahil Verma and Parvathaneni Naga Srinivasu and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.
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