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Advanced Computational Techniques For Sustainable Computing Megha Rathi

  • SKU: BELL-46210116
Advanced Computational Techniques For Sustainable Computing Megha Rathi
$ 31.00 $ 45.00 (-31%)

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Advanced Computational Techniques For Sustainable Computing Megha Rathi instant download after payment.

Publisher: CRC Press/Chapman & Hall
File Extension: PDF
File size: 19.39 MB
Pages: 337
Author: Megha Rathi, Adwitiya Sinha, (eds.)
ISBN: 9780367495220, 0367495228
Language: English
Year: 2022

Product desciption

Advanced Computational Techniques For Sustainable Computing Megha Rathi by Megha Rathi, Adwitiya Sinha, (eds.) 9780367495220, 0367495228 instant download after payment.

Advanced Computational Techniques for Sustainable Computingis 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 a comprehensive coverage of some of the most essential topics:

  • It provides an 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 by 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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