Basant Agarwal

Basant AgarwalDr. Basant Agarwal works as an Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Kota), India, which is an Institute of National Importance. He holds a Ph.D. and M.Tech. from the Department of Computer Science and Enginering, Malaviya National Institute of Technology Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. His research interest include Artificial Intelligence, Cyber physical systems, Text mining, Natural Language Processing, Machine learning, Deep learning, Intelligent Systems, Expert Systems and related areas. Read More Read Less

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Hands-On Data Structures and Algorithms with Python - Third Edition9 % NR
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Deep Learning-Based Approaches for Sentiment Analysis37 %
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Deep Learning-Based Approaches for Sentiment Analysis37 %
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Towards Water Circular Economy37 %
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Proceedings of the International Conference on Intelligent Computing, Communication and Information Security37 %
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Proceedings of International Conference on Intelligent Cyber-Physical Systems37 %
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Computational Statistical Methodologies and Modeling for Artificial Intelligence
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Proceedings of the International Conference on Intelligent Computing, Communication and Information Security37 %
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Proceedings of International Conference on Intelligent Cyber-Physical Systems37 %
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Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent Iot37 %
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Energy Conservation for IoT Devices37 %
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Communication and Intelligent Systems37 %
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Prominent Feature Extraction for Sentiment Analysis37 %
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Energy Conservation for IoT Devices37 %
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Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics36 %
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Prominent Feature Extraction for Sentiment Analysis37 %
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Computational Statistical Methodologies and Modeling for Artificial Intelligence4 % NR
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Predictive Modeling in Biomedical Data Mining and Analysis8 % NR
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Cyber-Physical SystemsNR
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