Cognitive Data Models for Sustainable Environment.

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bhattacharyya, Siddhartha
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego, CA : Elsevier Science & Technology, [2021]
Colección:Cognitive data science in sustainable computing.
Temas:
Environmental monitoring > Data processing.
Pollution > Measurement > Data processing.
Soft computing.
Environnement > Surveillance > Informatique.
Pollution > Mesure > Informatique.
Informatique douce.
Acceso en línea:Texto completo

MARC

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520 |a 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. 
650 0 |a Environmental monitoring  |x Data processing. 
650 0 |a Pollution  |x Measurement  |x Data processing. 
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650 7 |a Soft computing.  |2 fast  |0 (OCoLC)fst01124115 
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