Advanced Computational Techniques for Sustainable Computing


Advanced Computational Techniques for Sustainable Computing
Author: Megha Rathi and Adwitiya Sinha
Publisher finelybook 出版社: Chapman and Hall/CRC; 1st edition (October 7, 2021)
Language 语言: English
Print Length 页数: 336 pages
ISBN-10: 0367495228
ISBN-13: 9780367495220


Book Description
By finelybook

Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts.
The book offers comprehensive coverage of the most essential topics, and:
Provides insight on building smart sustainable solutions
Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing
Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research
Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered Author: multi-disciplinary domains
Encompasses comparison and analysis of recent technologies and trends
Includes development of smart models for information gain and effective decision making with visualization
The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.
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