Editors:
- Presents recent advances in Artificial Intelligence and Data Engineering
- Covers topics such as deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, etc
- Presents select proceedings of AIDE 2020
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1386)
Conference series link(s): AIDE: International Conference on Artificial Intelligence and Data Engineering
Conference proceedings info: AIDE 2020.
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Table of contents (36 papers)
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Forgery Detection and Image Recommendation Systems
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Front Matter
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Sentiment Classification and Data Analysis
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Front Matter
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About this book
Editors and Affiliations
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Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka (NITK), Mangalore, India
Pushparaj Shetty D.
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Department of MCA, NMAM Institute of Technology, Karkala, India
Surendra Shetty
About the editors
Dr. Pushparaj Shetty D. is working as a faculty at National Institute of Technology Karnataka (NITK) Surathkal since 2000. He is presently holding the position of Associate Professor in department of Mathematical and computational sciences at NITK Surathkal. He obtained his B.E in Computer Science and Engineering in 1999 from Mangalore University and M.E in Computer Science and Engineering in 2005 from Indian Institute of Engineering Science and Technology, Shibpur, Kolkata (formerly Bengal Engg. and Science University). He obtained his Ph.D from the Computer Science and Applications group, Department of Mathematics at the Indian Institute of Technology Delhi (July 2014). His research interests are in the area of wireless sensor networks, graph algorithms and their applications in engineering, cloud computing and high performance computing. He has co-authored more than 25 research papers in peer-reviewed journals and conferences including few book chapters. He is a senior member of IEEE, senior member of ACM, and life member of Computer Society of India (CSI) and Institution of Engineers India (IEI). Dr. Pushparaj is volunteering as the Chair of IEEE Mangalore Subsection for the year 2021.
Dr. Surendra Shetty is currently a Professor & Head, Department of Master of Computer Applications, NMAM Institute of Technology, Nitte. He had completed his B.Sc. in 2001 and he obtained his Master of Computer Applications in 2004 from Visvesvaraya Technological University, Belagavi. Dr. Surendra Shetty had been awarded his doctoral degree for his research work “Audio Data Mining Using Machine Learning Techniques” in 2013 from University of Mangalore. He has published more than 30 research papers in different international journals and conferences. He is currently guiding six research scholars. Dr. Surendra Shetty authored two book chapters in different publications entitled “Machine Learning Approach for Carnatic Music Analysis” and “Applications of Unsupervised Techniques for Clustering of Audio Data”. He has received research grant of 20 lakhs from VGST (GoK) for carrying out research on “Automatic Natural Language Processing and Speech Disorder Problems in Kannada Language”. He has 16 years of teaching experience. His research areas of interest are cryptography, data mining, pattern recognition, speech recognition, MIS, software engineering and testing.
Bibliographic Information
Book Title: Recent Advances in Artificial Intelligence and Data Engineering
Book Subtitle: Select Proceedings of AIDE 2020
Editors: Pushparaj Shetty D., Surendra Shetty
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-16-3342-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-3341-6Published: 01 November 2021
Softcover ISBN: 978-981-16-3344-7Published: 02 November 2022
eBook ISBN: 978-981-16-3342-3Published: 31 October 2021
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XII, 463
Number of Illustrations: 88 b/w illustrations, 199 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence