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Applications of Computational Intelligence in Management & Mathematics

8th ICCM, Nirjuli, AP, India, July 29–30, 2022

  • Conference proceedings
  • © 2023

Overview

  • Provides researchers with powerful tools to analyze and solve incomplete data and complex problems
  • Addresses potential aspects of computational intelligence techniques in simulations of applications
  • Suitable for academics, researchers and industry practitioners working in computational management

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 417)

Included in the following conference series:

Conference proceedings info: ICCM 2022.

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Table of contents (28 papers)

Other volumes

  1. Applications of Computational Intelligence in Management & Mathematics

Keywords

About this book

Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address stochastic environments where reasoning is a significant attribute to derive potential solutions and focus on the business domain's computational aspects.


This is a conference proceedings for scholars/students who are using the powerful algorithms, concepts and principles of computational intelligence in a wide spectrum of research cases.







Editors and Affiliations

  • Electronics & Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Itanagar, India

    Madhusudhan Mishra

  • Department of Computer Science, Central University of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • EMLYON Business School, Écully, France

    Imene Brigui

About the editors

Dr. Madhusudhan Mishra is an Associate Professor in the Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh since 2019. He received his B.Tech. Degree in Electronics and Communication Engineering from NERIST (2004), M. Tech in Signal Processing from IIT Guwahati (2011), and Ph.D. Degree from the Department of Electrical Engineering, IIT Kharagpur, India (2020). He has published several international conferences and journal papers of repute including IEEE transactions on Instrumentation and Measurements and IEEE Sensor Journal. His current research interest includes Biomedical Signal Processing and Machine Learning. 

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