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Artificial Intelligence for a Sustainable Industry 4.0 / edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Telecommunication.
- Industrial engineering.
- Production engineering.
- Cooperating objects (Computer systems).
- Artificial Intelligence.
- Communications Engineering, Networks.
- Industrial and Production Engineering.
- Cyber-Physical Systems.
- Local Subjects:
- Artificial Intelligence.
- Communications Engineering, Networks.
- Industrial and Production Engineering.
- Cyber-Physical Systems.
- Physical Description:
- 1 online resource (XVI, 307 pages) : 163 illustrations, 130 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-77070-9
- 9783030770709
- Access Restriction:
- Restricted for use by site license.
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