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Artificial Intelligence for a Sustainable Industry 4.0

Langbeschreibung
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.
Inhaltsverzeichnis
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.
Carlos M. Travieso-González : received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 51 International and Spanish Research Projects, some of them as head researcher. He is co-author of 4 books, co-editor of 24 Proceedings Book, Guest Editor for 8 JCR-ISI international journals and up to 24 book chapters. He has over 440 papers published in international journals and conferences (72 of them indexed on JCR - ISI - Web of Science). He has published 7 patents in Spanish Patent and Trademark Office. He has been supervisor on 8 PhD Thesis (12 more are under supervision), and 130 Master Thesis. He is founder of The IEEE IWOBI conference series and President of its Steering Committee, of The InnoEducaTIC conference series; and of The APPIS conference series. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC - UK), Spanish Government (ANECA - Spain), Research national Agency (ANR - France), DAAD (Germany), Argentinian Government and Colombian Institutions. He has been reviewer in different indexed international journals s (^S 2018 General Chair, InnoEducaTIC 2017 General Chair, IEEE-IWOBI 2017 General Chair, IEEE-IWOBI 2015 General Chair, InnoEducaTIC 2014 General Chair, IEEE-IWOBI 2014 General Chair, IEEE-INES 2013 General Chair, NoLISP 2011 General Chair, JRBP 2012 General Chair and IEEE-ICCST 2005 Co-Chair. He is Associate Editor on Computational Intelligence and Neuroscience journal (Hindawi - Q2 JCR-ISI). He was Vice-Dean from 2004 to 2010 in Higher Technical School of Telecommunication Engineers in ULPGC; and Vice-Dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won "Catedra Telefonica" Awards in Modality of Knowledge Transfer, in the editions 2017, 2018 and 2019.
ISBN-13:
9783030770709
Veröffentl:
2021
Seiten:
307
Autor:
Shashank Awasthi
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

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