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Artificial Intelligence for a Sustai...
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Artificial Intelligence for a Sustainable Industry 4.0
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Artificial Intelligence for a Sustainable Industry 4.0/ edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh.
other author:
Awasthi, Shashank.
Description:
XVI, 307 p. 163 illus., 130 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-77070-9
ISBN:
9783030770709
Artificial Intelligence for a Sustainable Industry 4.0
Artificial Intelligence for a Sustainable Industry 4.0
[electronic resource] /edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh. - 1st ed. 2021. - XVI, 307 p. 163 illus., 130 illus. in color.online resource.
Introduction -- Artificial Intelligence in Healthcare -- IoT for Modern Life -- Artificial Intelligence in Multimedia Technology -- Artificial Intelligence in Security and Surveillance -- Artificial Intelligence in Big Data Analytics -- Communication Technologies -- Machine Learning and Computing -- Optimizations using Deep learning -- Engineering design for sustainable development using IOT/AI -- Intelligent and Smart Grid Systems -- Energy conservation using AI Technology -- Smart Cities -- Industry 4.0 -- Robotic Process Automation -- Conclusion.
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.
ISBN: 9783030770709
Standard No.: 10.1007/978-3-030-77070-9doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Artificial Intelligence for a Sustainable Industry 4.0
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Introduction -- Artificial Intelligence in Healthcare -- IoT for Modern Life -- Artificial Intelligence in Multimedia Technology -- Artificial Intelligence in Security and Surveillance -- Artificial Intelligence in Big Data Analytics -- Communication Technologies -- Machine Learning and Computing -- Optimizations using Deep learning -- Engineering design for sustainable development using IOT/AI -- Intelligent and Smart Grid Systems -- Energy conservation using AI Technology -- Smart Cities -- Industry 4.0 -- Robotic Process Automation -- Conclusion.
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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.
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Springer Protocols (Springer-12345)
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