Sustainable Advanced Computing
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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.
Sustainable Advanced Computing
This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing.
Sustainable Advanced Manufacturing and Logistics in ASEAN
Author: Sakalayen, Quazi Mohammed Habibus
language: en
Publisher: IGI Global
Release Date: 2025-02-28
Sustainable advanced manufacturing and logistics emerge as drivers of economic growth and environmental responsibility across the ASEAN region. As global supply chains become interconnected, and demand for innovative, eco-friendly solutions rises, ASEAN countries are adopting cutting-edge manufacturing technologies and logistics strategies that prioritize sustainability. From the integration of smart automation, additive manufacturing, and energy-efficient production processes to the adoption of green logistics and circular economy principles, the region is paving the way for industrial progress and environmental stewardship. These advancements support the economic development goals of ASEAN while aligning with global efforts to reduce carbon footprints, minimize waste, and promote resource efficiency, positioning the region as a leader in sustainable industrial practices. Sustainable Advanced Manufacturing and Logistics in ASEAN explores the fusion of cutting-edge manufacturing practices and sustainable logistics. It examines the economic landscapes and opportunities within the ASEAN region, unraveling the potential for foreign investments and forecasting the future of advanced manufacturing logistics. This book covers topics such as green logistics, circular economy, and machine learning, and is a useful resource for engineers, scientists, business owners, urban and regional developers, academicians, and researchers.