Editors:
- Presents research in the field of machine learning and its applications
- Includes the outcomes of AMLTA 2020, organized by Manipal University Jaipur, India
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1141)
Conference series link(s): AMLTA: International Conference on Advanced Machine Learning Technologies and Applications
Conference proceedings info: AMLTA 2020.
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Table of contents (65 papers)
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Front Matter
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Modelling and Optimization
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Front Matter
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Computing and Technology Trends
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Front Matter
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About this book
This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
Editors and Affiliations
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Faculty of Computer and Information, Cairo University, Giza, Egypt
Aboul Ella Hassanien
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Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India
Roheet Bhatnagar
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Faculty of Science, Helwan University, Helwan, Egypt
Ashraf Darwish
About the editors
Aboul Ella Hassanien is the Founder and Head of the Scientific Research Group in Egypt (SRGE) and a Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien has more than 1000 scientific research papers published in prestigious international journals to his credit.
Roheet Bhatnagar works at Manipal University Jaipur (MUJ), where he is currently serving as a Professor at the Department of Computer Science & Engineering. He has been affiliated with the MUJ since 2012, and with the Manipal group since 2008. With vast experience spanning more than 20 years in both industry and academia, he has worked for companies like Xerox Corporation, Samsung SDS and USHA Soft in various capacities. He is a Senior Member of the IEEE and Life Member of the ISTE and ISRS.
Ashraf Darwish is a Professor of Computer Science and former Acting Head of the Mathematics and Computer Science Departmentat Helwan University, Egypt. Dr Darwish has a wealth of academic experience and has authored numerous publications, including papers in international journals and conference proceedings. Currently, he is the vice chair of the Scientific Research Group in Egypt (SRGE).
Bibliographic Information
Book Title: Advanced Machine Learning Technologies and Applications
Book Subtitle: Proceedings of AMLTA 2020
Editors: Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-3383-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-15-3382-2Published: 26 May 2020
eBook ISBN: 978-981-15-3383-9Published: 25 May 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXI, 757
Number of Illustrations: 88 b/w illustrations, 241 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Big Data