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Advances in Intelligent Systems and Computing

Machine Learning and Information Processing

Proceedings of ICMLIP 2020

Editors: Swain, Debabala, Pattnaik, Prasant Kumar, Athawale, Tushar (Eds.)

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  • Presents recent research in the field of machine learning and information processing
  • Discusses the outcomes of ICMLIP 2020, held in Hyderabad, India
  • Serves as a reference resource for researchers and practitioners in academia and industry
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eBook 160,49 €
price for Spain (gross)
  • ISBN 978-981-334-859-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 207,99 €
price for Spain (gross)
  • ISBN 978-981-334-858-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.

About the authors

Debabala Swain is working as Associate Professor in the Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, India. She has more than a decade of teaching and research experience. Dr. Swain has published number of research papers in peer-reviewed international journals, conferences, and book chapters. She has edited books of Springer, IEEE. Her area of research interest includes high-performance computing, information security, machine learning, and IoT.
Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow of IETE, Senior Member of IEEE, is Professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems, and brain–computer interface. He is one of the Associate Editors of Journal of Intelligent & Fuzzy Systems, IOS Press, and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group.
Tushar Athawale is currently working as Computer Scientist at Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA. He is in the domain of scientific visualization for analysis of large-scale data using tools, such as VisIt and ParaView and software development for multi-threaded visualization toolkit (VTK-m). He was Postdoctoral Fellow at the University of Utah’s Scientific Computing & Imaging (SCI) Institute with Prof. Chris R. Johnson as his advisor since October 2016. He received Ph.D. in Computer Science from the University of Florida in May 2015, and he worked with Prof. Alireza Entezari while pursuing his Ph.D. After his graduation, he worked as an application support engineer under the supervision of Robijn Hage in MathWorks, Inc., the developer of the leading computing software MATLAB. His primary research interests are in uncertainty quantification and statistical analysis.

Table of contents (55 chapters)

Table of contents (55 chapters)
  • Smart Queue Shopping Using RFID System

    Pages 1-11

    Swain, Debabrata (et al.)

  • Prediction and Classification of Biased and Fake News Using NLP and Machine Learning Models

    Pages 13-20

    Ghadekar, Premanand (et al.)

  • Smart Leaf Disease Detection Using Image Processing

    Pages 21-32

    Thakur, Amit (et al.)

  • Unsupervised Image Generation and Manipulation Using Deep Convolutional Adversarial Networks

    Pages 33-43

    Ghadekar, Premanand (et al.)

  • A Suicide Prediction System Based on Twitter Tweets Using Sentiment Analysis and Machine Learning

    Pages 45-58

    Swain, Debabrata (et al.)

Buy this book

eBook 160,49 €
price for Spain (gross)
  • ISBN 978-981-334-859-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 207,99 €
price for Spain (gross)
  • ISBN 978-981-334-858-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Information Processing
Book Subtitle
Proceedings of ICMLIP 2020
Editors
  • Debabala Swain
  • Prasant Kumar Pattnaik
  • Tushar Athawale
Series Title
Advances in Intelligent Systems and Computing
Series Volume
1311
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-334-859-2
DOI
10.1007/978-981-33-4859-2
Softcover ISBN
978-981-334-858-5
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XVII, 601
Number of Illustrations
97 b/w illustrations, 211 illustrations in colour
Topics