Cognitive data models for sustainable environment / edited by Siddhartha Bhattacharyya, Naba Kumar Mondal, Koushik Mondal, Jyoti Prakash Singh, Kolla Bhanu Prakash ; series editor, Arun Kumar Sangaiah.
| Format | Electronic |
| Publication Info | London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2022] |
| Description | xxii, 294 pages : illustrations ; 23 cm. |
| Supplemental Content | Full text available from Elsevier SD eBook - Mathematics and Computing 2022 |
| Subjects |
| Other author/creator | Bhattacharyya, Siddhartha, 1975- |
| Other author/creator | Mondal, N. K. (Naba K.) |
| Other author/creator | Mondal, Koushik. |
| Other author/creator | Singh, Jyoti Prakash. |
| Other author/creator | Prakash, Kolla Bhanu. |
| Series | Cognitive data science in sustainable computing Cognitive data science in sustainable computing. UNAUTHORIZED |
| Abstract | "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" -- Back cover. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | electronic version : $$z 0128240393 $$z 9780128240397 $$w (OCoLC)1268682979 |
| Genre/form | Electronic books. |
| LCCN | 2021937127 |
| ISBN | 9780128240380 paperback |
| ISBN | 0128240385 paperback |