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Intelligent Environmental Data Monitoring for Pollution Management
- 1st Edition - October 22, 2020
- Editors: Siddhartha Bhattacharyya, Naba Kumar Mondal, Jan Platos, Vaclav Snasel, Pavel Kromer
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 6 7 1 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 9 2 4 - 4
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-cent… Read more
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Request a sales quoteIntelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization.
- Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment
- Offers perspectives on the design, development and commissioning of intelligent applications
- Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution
- Puts forth insights on future generation intelligent pollution monitoring techniques
Academics and researchers interested in joining interdisciplinary projects on intelligent environmental data management
- No. of pages: 344
- Language: English
- Edition: 1
- Published: October 22, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128196717
- eBook ISBN: 9780128199244
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Siddhartha Bhattacharyya
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Naba Kumar Mondal
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Jan Platos
Jan Platos received a Ph.D. in computer science in 2010. He became a Full professor in 2021 at the Department of Computer Science. Since 2021, he has been Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
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Vaclav Snasel
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