Cognitive Data Models for Sustainable Environment
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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.
Key Features
- Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity
- Provides tools, connections and proactive solutions to take sustainability programs to the next level
- Offers perspectives for design, development and commissioning of intelligent applications
- Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution
Readership
Graduate level students, Research, Instructors in Computer Science who are interested in developing cognitive solutions for the glaring problems of environmental pollution. Environmental science researchers
Table of Contents
1. Multidimensional controlling properties of biofabricated silver-nanoparticles on different mosquito species
2. Machine learningeenabled cognitive approaches for handling IoT-based environmental data
3. Evolution of sustainable environment: a cognitive outlook
4. Application of nanotechnology in pesticides adsorption with statistical optimization and modeling
5. Sustainability issues in upcoming wastewater treatment plants at Patna
6. Community approach toward disaster resilience
7. ZnO nanoparticles: a facile synthesized agent for removing dye from aqueous solution in an ecofriendly way
8. Optimization of rural indoor kitchen structure and minimizing the pollution load: a sustainable environmental modeling approach
9. IoT-based health care data analytical paradigm using blockchain technology
10. Environmental pain with human beauty: emerging environmental hazards attributed to cosmetic ingredients and packaging
11. Indian rural housing: an approach toward sustainability
Product details
- No. of pages: 316
- Language: English
- Copyright: © Academic Press 2021
- Published: September 19, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128240380
- eBook ISBN: 9780128240397
About the Editors
Siddhartha Bhattacharyya
Siddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMIETI, LMCSI, LMISTE] is currently the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a Professor at CHRIST (Deemed to be University), Bangalore, India. He 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 is a co-author of 6 books and the co-editor of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit.
Affiliations and Expertise
Principal, Rajnagar Mahavidyalaya, Birbhum, India
Naba Mondal
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.
Affiliations and Expertise
Professor in Environmental Science, Department of Environmental Science, The University of Burdwan, Burdwan, India
Koushik Mondal
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.
Affiliations and Expertise
Principal Systems Engineer in IIT (ISM) Dhanbad
Jyoti Singh
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.
Affiliations and Expertise
Assistant Professor in Computer Science and Engineering of National Institute of Technology Patna, India
Kolla Prakash
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.
Affiliations and Expertise
Professor and Research Group Head, CSE Department, KL University, India
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