Details

Autor(en) / Beteiligte

• Megha Rathi, Adwitiya Sinha / Megha Rathi, Adwitiya Sinha
• Sinha, Adwitiya
• Rathi, Megha

Titel

Advanced Computational Techniques for Sustainable Computing

Auflage

1st

Ort / Verlag

United Kingdom: Chapman & Hall

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Advanced Computational Techniques for Sustainable Computing is considered a multidisciplinary field encompassing advanced computational techniques across several domains, 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. FEATURES Offers comprehensive coverage of the most essential topics Provides insight on building smart sustainable solutions Includes details of applying mining, learning, Internet of Things, and sensor-based techniques for sustainable computing Details data extraction from various sources followed with preprocessing 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 multidisciplinary domains Encompasses comparison and analysis of recent technologies and trends Includes development of smart models for information gain and effective decision-making with visualization Readers will become acquainted with the utilization of massive datasets for intelligent mining and processing. This book 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 this book demonstrates the usage of data science and the Internet of Things for the advent of smart and realistic solutions for attaining sustainability.