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First Indicator |
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Subfields |
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|a 9781394383658
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|2 doi
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|a QA76.9.E58
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| 245 |
0 |
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|a Green computational intelligence :
|b sustainable strategies and emerging technologies /
|c edited by Nitish Pathak... [and 3 others].
|
| 264 |
|
1 |
|a Hoboken, NJ :
|b John Wiley & Sons, Inc. ;
|a Beverly, MA :
|b Scrivener Publishing LLC,
|c 2025.
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| 264 |
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|c ©2025
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| 300 |
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|3 Wiley
|a "We measure accessibility according to the standards set by the Web Content Accessibility Guidelines (WCAG) 2.2 A/AA, Revised Section 508 of the US Rehabilitation Act, and EN 301 549." Source: https://onlinelibrary.wiley.com/accessibility. Last accessed April 22, 2025
|
| 588 |
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|
|a Description based on online resource; title from digital title page (viewed on October 09, 2025).
|
| 520 |
|
|
|a Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence. The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation. Readers will find the book: Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions; Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing; Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management; Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges; Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation. Audience Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.
|
| 650 |
|
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|a Computational intelligence
|x Environmental aspects.
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|a Electronic books.
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|a Texas A&M University
|b College Station
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|e QA76.9.E58 G74 2025
|h Library of Congress classification
|
| 998 |
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