M A Jabbar

M A JabbarDr. Jabbar is Professor and Head of the Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained his PhD from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bioinformatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems. He has published more than 57 papers in various journals and conferences. He published 5 patents in machine learning and allied areas and one book, Heart Disease Data Classification using Data Mining Techniques (LAP LAMBERT Academic, 2019). He served as a technical committee member for more than 70 international conferences. He is Guest Editor for The Fusion of Internet of Things, AI, and Cloud Computing In Health Care: Opportunities and Challenges (Springer) Series, and Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities (CRC Press); Guest Editor for Emerging Technologies and Applications for a Smart and Sustainable World (Bentham Science); Guest editor for Machine Learning Methods for Signal, Image and Speech Processing (River Publishing). He is a senior member of IEEE, and Lifetime member of the Computer Society of India (CSI) and the Indian Science Congress Association (ISCA). He is chair of the IEEE CS chapter Hyderabad Section. He has also served as a member of the Machine Intelligence Laboratory, USA (MIRLABS) and USERN, Iran, and Asia Pacific Institute of Science and Engineering (APISE) Hong Kong. Read More Read Less

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Machine Learning Methods for Signal, Image and Speech Processing8 % NR
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What Color Is My World?22 %
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Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care37 %
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Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care37 %
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Applied Machine Learning and Data Analytics37 %
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Smart Urban Computing Applications38 %
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Deep Learning in Biomedical and Health Informatics38 %
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3rd International Conference on Artificial Intelligence and Computer Vision (Aicv2023), March 5-7, 202337 %
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Applied Machine Learning and Data Analytics37 %
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Proceeding of 2021 Intl. Conf.37 %
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Deep Learning in Biomedical and Health Informatics41 %
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Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (Socpar 2019)37 %
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Correlação entre a resistência à insulina e a gravidez recorrente inexplicada6 % NR
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Zusammenhang zwischen Insulinresistenz und unerklärlichen wiederholten Fehlgeburten6 % NR
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Correlazione dell'insulino-resistenza con la gravidanza ricorrente inspiegabile6 % NR
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Corrélation entre la résistance à l'insuline et les grossesses récurrentes inexpliquées6 % NR
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Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity5 % NR
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