Overview
- Covers various aspects of theoretical and applied research in AI and data mining
- Includes contributions by experts from diverse fields on innovative applications of AI
- Presents selected papers from the International Conference AIDE 2019
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1133)
Included in the following conference series:
Conference proceedings info: AIDE 2019.
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Table of contents (110 papers)
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Front Matter
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Artificial Intelligence
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Front Matter
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Other volumes
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Advances in Artificial Intelligence and Data Engineering
Keywords
About this book
This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.
Editors and Affiliations
About the editors
Dr. Niranjan N. Chiplunkar is currently a Professor at the Department of Computer Science & Engineering and Principal of NMAM Institute of Technology, Nitte, Udupi, India. With more than 32 years of teaching experience, he has written one textbook on “VLSI CAD” published by PHI Learning, in 2011 and has edited two international and one national-level conference proceedings volume. He was selected for the “Bharatiya Vidya Bhavan National Award for Best Engineering College Principal” for the year 2014 by the ISTE New Delhi and for the “Excellent Achievement Award” by the Centre for International Cooperation on Computerization, Government of Japan, in 2002. Prof. Chiplunkar’s major interests include CAD for VLSI, wireless sensor networks, and multicore architecture and programming. He is a Fellow of the Institution of Engineers (India), Senior Member of the IEEE, and a member of several other professional bodies, e.g. the Computer Society of India, ISSS, and ISTE. He has successfully completed two funded research projects—one from the AICTE, New Delhi, and another from the DST, Government of India, on “Network on Chip Architecture Design” and “Multicore Software Framework Development,” respectively.
Dr. Takanori Fukao is currently a Professor at the Department of Electrical and Electronics Engineering, College of Science and Engineering, Ritsumeikan University, Japan. His primary research interests include perceptual information processing, intelligent robotics, automated driving, platooning, parking of automobiles, flight control for blimp robots and drones, automated driving of agricultural vehicles, active control including active suspension systems, and 3D model generation using motion stereo or stereo cameras. He heads the research laboratory Intelligent Vehicle Systems. He has published 47 research papers in reputed international journals, and three books with leading publishers. He has received several awards for his research and teaching achievements. Currently, he is an editor of IEEE Transactions on Intelligent Vehicles.
Bibliographic Information
Book Title: Advances in Artificial Intelligence and Data Engineering
Book Subtitle: Select Proceedings of AIDE 2019
Editors: Niranjan N. Chiplunkar, Takanori Fukao
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-3514-7
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-3513-0Published: 15 August 2020
Softcover ISBN: 978-981-15-3516-1Published: 16 August 2021
eBook ISBN: 978-981-15-3514-7Published: 13 August 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XL, 1475
Number of Illustrations: 262 b/w illustrations, 472 illustrations in colour
Topics: Computational Intelligence, Robotics and Automation, Cyber-physical systems, IoT, Big Data, Data Mining and Knowledge Discovery