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34. 2021. A machine learning model for predicting individual substance abuse with associated risk-factors. UI Islam, E Haque, D Alsalman, MN Islam, MA Moni, IH Sarker. Annals of Data Science 10 (6), 1607-1634. , 2023. 18. 2023. Predicting individual substance abuse vulnerability using machine learning techniques.
Md Enamul HAQUE, Research Data Scientist | Cited by 229 | of Stanford University, CA (SU) | Read 32 publications | Contact Md Enamul HAQUE.
I am a Senior Research Data Scientist at the Spencer Center for Vision Research at Stanford University School of Medicine, and Senior Data Scientist at Truveta Inc.. I am also involved in eye care research at Office of Research and Development in U.S. Department of Veterans Affairs, Palo Alto, CA.
ME Haque, AA Kaisan, MR Saniat, A Rahman. arXiv preprint arXiv:1404.0774. , 2014. 21. 2014. Rule-based land cover classification from very high-resolution satellite image with multiresolution segmentation. ME Haque, B Al-Ramadan, BA Johnson. Journal of Applied Remote Sensing 10 (3), 036004-036004.
Data Science Foundation course by Enamul HAQUE - Chapter 4, Video 14 lecture. Download PDF.
Overview. Editors: A. K. Enamul Haque, Pranab Mukhopadhyay, Mani Nepal, Md Rumi Shammin. This book is open access, which means that you have free and unlimited access. Provides heterogeneous, locally grounded community solutions to climate change in different institutional settings.
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Enamul Haque is a writer, researcher and a globally recognised expert of emerging technologies. He writes on IT Service Management, cloud computing, AI, IoT and big data analytics.