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Advanced Machine Learning Technologies and Applications

Proceedings of AMLTA 2020

  • Conference proceedings
  • © 2021

Overview

  • 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)

Included in the following conference series:

Conference proceedings info: AMLTA 2020.

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Table of contents (65 papers)

  1. Modelling and Optimization

  2. Computing and Technology Trends

Other volumes

  1. Advanced Machine Learning Technologies and Applications

Keywords

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

  • Faculty of Computer and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

    Roheet Bhatnagar

  • 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).

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