Nuruzzaman Faruqui
About
Nuruzzaman Faruqui has authored 20 papers that have received a total of 189 indexed citations.
This includes 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are IoT and Edge/Fog Computing (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers). Nuruzzaman Faruqui is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers) and collaborates with scholars based in Bangladesh, Australia and United States. Nuruzzaman Faruqui's co-authors include Md Whaiduzzaman, Mohammad Abu Yousuf, Imran Mahmud, Alistair Barros and Mohammad Ali Moni and has published in prestigious journals such as Sensors, IEEE Access and Applied Sciences
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