Amit Joshi (editor) - Sustainable Intelligent Systems (Advances in Sustainability Science and Technology)

The book series aims at bringing together valuable and novel scientific contributions that address the critical issues of renewable energy, sustainable building, sustainable manufacturing, and other sustainability science and technology topics that have an impact in this diverse and fast-changing research community in academia and industry.

High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.

More information about this series at http://www.springer.com/series/16477 The series will include monographs, edited volumes, and selected proceedings.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Sustainable Intelligent Systems explains and aims at giving a gist to exigency of the technological solutions with a forward move towards sustainability. The book presents issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability and provides an overview of the technologies awaiting unveiling. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. The book also includes the research paradigms on SDGs and societal impacts. The book provides an overview of cutting-edge techniques towards sustainability and ideas to help researchers who want to understand the challenges and opportunities of using for Smart Management Prospective for Sustainable Society. It covers wide ranges of audience from computer science, data analysts, AI technocrats and management researchers.