Overview
- Covers research in the areas of artificial intelligence, machine learning, and deep learning applications
- Focuses on all aspects of engineering applications of artificial intelligence and machine learning in healthcare, agriculture, business and security
- Valuable resource for students, academics and practitioners in industry working on AI applications
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 778)
Included in the following conference series:
Conference proceedings info: ICAAAIML 2020.
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Table of contents (54 papers)
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Front Matter
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Artificial Intelligence and Its Applications in Smart Education
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Front Matter
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Big Data and Data Mining
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Challenges of Smart Cities Future Research Directions
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Front Matter
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Keywords
About this book
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Editors and Affiliations
About the editors
Ankur Choudhary is a Professor of the Department of Computer Science and Engineering at Sharda University, India. He completed his Ph.D. from Gautam Buddha University (GBU), India. His areas of research are nature-inspired optimization, artificial intelligence, software engineering, medical image processing, and digital watermarking. Dr. Choudhary has over 15 years of academic and research experience. He has published several research papers in conferences and journals. He is associated with various International Journals as a reviewer and editorial board member.
Arun Prakash Agrawal is currently a Professor with the Department of Computer Science and Engineering at Sharda University, India. He obtained his Masters and Ph.D. in Computer Science and Engineering from Guru Gobind Singh Indraprastha University, New Delhi, India. He has several research papers to his credit in refereed journals and conferences of international repute. He has also taught short-term courses at the Swinburne University of Technology, Melbourne, Australia, and Amity Global Business School, Singapore. His research interests include machine learning, software testing, artificial intelligence, and soft computing. He is an active professional member of the IEEE and ACM.
Rajasvaran Logeswaran is Head of the Asia Pacific Centre for Analytics and full Professor of Computing and Engineering at Asia Pacific University of Technology and Innovation (APU), Malaysia. He got his B.E. (Hons) Computing at Imperial College London, the United Kingdom. He completed his Masters and Ph.D. from Multimedia University, Malaysia and post-doctoral research in Korea. His research interest areas are image processing, data compression, neural networks, and data science. Dr. Logeswaran has over 150 publications in books, peer-reviewed journals, and international conference proceedings to his credit. Prof. Logeswaran has been a recipient of several scholarships and awards. He is a Senior Member of the IEEE and Chair of the award-winning IEEE Signal Processing Society Malaysia Chapter.
Bhuvan Unhelkar (BE, MDBA, MSc, Ph.D.) is an accomplished IT professional and Professor of IT at the University of South Florida at their Sarasota-Manatee campus. He is also Founding Consultant at MethodScience and PlatiFi, with mastery in business analysis & requirements modeling, software engineering, big data strategies, agile processes, mobile business, and green IT. He has a Doctorate in the area of “Object Orientation” from the University of Technology, Sydney, in 1997. His areas of expertise include big data strategies, agile processes, business analysis & requirements modeling, corporate agile development, and quality assurance & testing. His industry experience includes banking, finance, insurance, government, and telecommunications where he develops and applies industry-specific process maps, business transformation approaches, capability enhancement, and quality strategies. Dr. Unhelkar has authored numerous executive reports, journal articles, and 20 books with internationally reputed publishers.
Bibliographic Information
Book Title: Applications of Artificial Intelligence and Machine Learning
Book Subtitle: Select Proceedings of ICAAAIML 2020
Editors: Ankur Choudhary, Arun Prakash Agrawal, Rajasvaran Logeswaran, Bhuvan Unhelkar
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-16-3067-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-3066-8Published: 28 July 2021
Softcover ISBN: 978-981-16-3069-9Published: 29 July 2022
eBook ISBN: 978-981-16-3067-5Published: 27 July 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XVI, 738
Number of Illustrations: 79 b/w illustrations, 247 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Computer Applications, Machine Learning