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Author Bhattacharyya, Siddhartha.

Title Cognitive Data Models for Sustainable Environment.

Publication Info. San Diego, CA : Elsevier Science & Technology, [2021]

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Cognitive Data Science in Sustainable Computing Ser.
Cognitive data science in sustainable computing.
Summary 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.
Subject Environmental monitoring -- Data processing.
Pollution -- Measurement -- Data processing.
Soft computing.
Environnement -- Surveillance -- Informatique.
Pollution -- Mesure -- Informatique.
Informatique douce.
Environmental monitoring -- Data processing
Pollution -- Measurement -- Data processing
Soft computing
Other Form: Print version: 0128240385 9780128240380 (OCoLC)1250310333
ISBN 9780128240397 (electronic book)
0128240393 (electronic book)
9780128240380 (electronic book)
0128240385 (electronic book)
Standard No. AU@ 000070477189
AU@ 000070594256
UKMGB 020367516
DKDLA 820120-katalog:9910110282705765

 
    
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