Advanced Computational Techniques for Sustainable Computing

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 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.