Cognitive Data Models for Sustainable Environment

Siddhartha Bhattacharyya (Redaktør) ; Naba Kumar Mondal (Redaktør) ; Koushik Mondal (Redaktør) ; Jyoti Prakash Singh (Redaktør) ; Kolla Bhanu Prakash (Redaktør)

Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. Les mer
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Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood.

The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.
Forlag: Academic Press Inc
Innbinding: Paperback
Språk: Engelsk
ISBN: 9780128240380
Format: 23 x 15 cm

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Siddhartha Bhattacharyya is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit. Dr. Naba Kumar Mondal is a Professor in Environmental Science, Department of Environmental Science, The University of Burdwan, Burdwan, India. He completed his post graduate in Chemistry from Department of Chemistry and doctorate degree in Environmental Science from Department of Environmental Science, The University of Burdwan. He has published his research work in more than 200 reputed international and national journals. His primary research interest are Adsorption Chemistry by low cost adsorbents, Water quality degradation and management in Arsenic and Fluoride affected areas of West Bengal, Indoor Air Pollution and Human Health, Nanotechnology and Mosquito control, Mobile tower radiation and Human health, and Teacher Education. Dr. Mondal has delivered several invited talks and key note addresses in national and international conferences of high repute. Dr. Koushik Mondal is now serving as Principal Systems Engineer in IIT (ISM) Dhanbad. He is presently handling IT and ITES projects of Rs. 40 Crore (INR). He has published about 30 papers in various journals, book chapters and conference proceedings, both international and national repute. Dr. Jyoti Prakash Singh is currently an Assistant Professor in Computer Science and Engineering of National Institute of Technology Patna, India. He has published more than 25 research publications in esteemed journals and conference proceedings. His research interests include social networks, wireless sensor networks and computational intelligence. Dr. Kolla Bhanu Prakash is a Professor and Research Group Head in the CSE Department, KL University, India. His current research interests include Deep Learning, Data Science, Smart Grids and Image Processing.