Artificial Intelligence for a Sustainable Industry 4.0 [electronic resource] / edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh.

9783030770709

1st ed. 2021.

Cham : Springer International Publishing : Imprint: Springer, 2021.

1 online resource (XVI, 307 p.) 163 illus., 130 illus. in color.

Access is available to the Yale community.

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This book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications. Discusses artificial intelligence for sustainable solutions; Features applications such as waste minimization, re-manufacturing, reuse and recycling, and robotic process automation; Pertinent to researchers, academics, professionals, and students interested in AI solutions for sustainable development.

Springer protocols (Series)

Books / Online

English

November 03, 2021