by Megha Rathi (Editor), Adwitiya Sinha (Editor)
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.
