Amit Kumar (editor) - Computational Intelligence in Machine Learning: Select Proceedings of ICCIML 2021 (Lecture Notes in Electrical Engineering, 834)

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Book cover of Computational Intelligence in Machine Learning

Volume 834

Lecture Notes in Electrical Engineering

Series Editors

Leopoldo Angrisani

Department of Electrical and Information Technologies Engineering, University of Napoli Federico II, Naples, Italy

Marco Arteaga

Departament de Control y Robtica, Universidad Nacional Autnoma de Mxico, Coyoacn, Mexico

Bijaya Ketan Panigrahi

Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

Samarjit Chakraborty

Fakultt fr Elektrotechnik und Informationstechnik, TU Mnchen, Munich, Germany

Jiming Chen

Zhejiang University, Hangzhou, Zhejiang, China

Shanben Chen

Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Tan Kay Chen

Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

Rdiger Dillmann

Humanoids and Intelligent Systems Laboratory, Karlsruhe Institute for Technology, Karlsruhe, Germany

Haibin Duan

Beijing University of Aeronautics and Astronautics, Beijing, China

Gianluigi Ferrari

Universit di Parma, Parma, Italy

Manuel Ferre

Centre for Automation and Robotics CAR (UPM-CSIC), Universidad Politcnica de Madrid, Madrid, Spain

Sandra Hirche

Department of Electrical Engineering and Information Science, Technische Universitt Mnchen, Munich, Germany

Faryar Jabbari

Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA, USA

Limin Jia

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

Janusz Kacprzyk

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Alaa Khamis

German University in Egypt El Tagamoa El Khames, New Cairo City, Egypt

Torsten Kroeger

Stanford University, Stanford, CA, USA

Yong Li

Hunan University, Changsha, Hunan, China

Qilian Liang

Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

Ferran Martn

Departament dEnginyeria Electrnica, Universitat Autnoma de Barcelona, Bellaterra, Barcelona, Spain

Tan Cher Ming

College of Engineering, Nanyang Technological University, Singapore, Singapore

Wolfgang Minker

Institute of Information Technology, University of Ulm, Ulm, Germany

Pradeep Misra

Department of Electrical Engineering, Wright State University, Dayton, OH, USA

Sebastian Mller

Quality and Usability Laboratory, TU Berlin, Berlin, Germany

Subhas Mukhopadhyay

School of Engineering & Advanced Technology, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand

Cun-Zheng Ning

Electrical Engineering, Arizona State University, Tempe, AZ, USA

Toyoaki Nishida

Graduate School of Informatics, Kyoto University, Kyoto, Japan

Federica Pascucci

Dipartimento di Ingegneria, Universit degli Studi Roma Tre, Rome, Italy

Yong Qin

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

Gan Woon Seng

School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore

Joachim Speidel

Institute of Telecommunications, Universitt Stuttgart, Stuttgart, Germany

Germano Veiga

Campus da FEUP, INESC Porto, Porto, Portugal

Haitao Wu

Academy of Opto-electronics, Chinese Academy of Sciences, Beijing, China

Walter Zamboni

DIEM - Universit degli studi di Salerno, Fisciano, Salerno, Italy

Junjie James Zhang

Charlotte, NC, USA

The book series Lecture Notes in Electrical Engineering (LNEE) publishes the latest developments in Electrical Engineering - quickly, informally and in high quality. While original research reported in proceedings and monographs has traditionally formed the core of LNEE, we also encourage authors to submit books devoted to supporting student education and professional training in the various fields and applications areas of electrical engineering. The series cover classical and emerging topics concerning:

• Communication Engineering, Information Theory and Networks

• Electronics Engineering and Microelectronics

• Signal, Image and Speech Processing

• Wireless and Mobile Communication

• Circuits and Systems

• Energy Systems, Power Electronics and Electrical Machines

• Electro-optical Engineering

• Instrumentation Engineering

• Avionics Engineering

• Control Systems

• Internet-of-Things and Cybersecurity

• Biomedical Devices, MEMS and NEMS

For general information about this book series, comments or suggestions, please contact leontina.dicecco@springer.com.

To submit a proposal or request further information, please contact the Publishing Editor in your country:

China

Jasmine Dou, Editor (jasmine.dou@springer.com)

India, Japan, Rest of Asia

Swati Meherishi, Editorial Director (Swati.Meherishi@springer.com)

Southeast Asia, Australia, New Zealand

Ramesh Nath Premnath, Editor (ramesh.premnath@springernature.com)

USA, Canada:

Michael Luby, Senior Editor (michael.luby@springer.com)

All other Countries:

Leontina Di Cecco, Senior Editor (leontina.dicecco@springer.com)

** This series is indexed by EI Compendex and Scopus databases. **

More information about this series at https://link.springer.com/bookseries/7818

Editors

Amit Kumar , Jacek M. Zurada , Vinit Kumar Gunjan and Raman Balasubramanian

Computational Intelligence in Machine Learning

Select Proceedings of ICCIML 2021

Logo of the publisher

Editors

Amit Kumar

BioAxis DNA Research Centre, Hyderabad, India

Jacek M. Zurada

Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

Vinit Kumar Gunjan

Department of Computer Science and Engineering, CMR Institute of Technology, Kandlakoya, India

Raman Balasubramanian

Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

ISSN 1876-1100 e-ISSN 1876-1119

Lecture Notes in Electrical Engineering

ISBN 978-981-16-8483-8 e-ISBN 978-981-16-8484-5

https://doi.org/10.1007/978-981-16-8484-5

The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

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