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Applied Soft Computing Techniques: Theoretical Principles and Practical Applications

Applied Soft Computing Techniques: Theoretical Principles and Practical Applications

Applied Soft Computing Techniques: Theoretical Principles and Practical
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Applied Soft Computing Techniques: Theoretical Principles and Practical Applications Hardback - 2025

by Borah, Samarjeet (Editor)/ Jambi, Ratna Raja Kumar (Editor)/ Ahmed, Sharifah Sakinah Syed (Editor)/ Deore, Mahendra Prabhakar (Editor)

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Description

Apple Academic Pr Inc, 2025. Hardcover. New. 464 pages. 9.18x6.12x9.45 inches.
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Details

  • Title Applied Soft Computing Techniques: Theoretical Principles and Practical Applications
  • Author Borah, Samarjeet (Editor)/ Jambi, Ratna Raja Kumar (Editor)/ Ahmed, Sharifah Sakinah Syed (Editor)/ Deore, Mahendra Prabhakar (Editor)
  • Binding Hardback
  • Condition New
  • Pages 440
  • Volumes 1
  • Language ENG
  • Publisher Apple Academic Pr Inc
  • Publication date 2025
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-1774918846
  • ISBN 9781774918845 / 1774918846
  • Weight 1.81 lbs (0.82 kg)
  • Dimensions 9.21 x 6.14 x 1 in (23.39 x 15.60 x 2.54 cm)
  • Category Computers - General Information
  • Quantity available 2

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Reader reviews for Applied Soft Computing Techniques: Theoretical Principles and Practical Applications

From the publisher

Discusses use of applied soft computing techniques in biomedical applications, communication technologies, data analytics and applications, image processing, and natural language processing. Details how soft computing can assist in tackling obstacles associated with signal processing, network optimization, quality of service, and beyond.

About the author

Samarjeet Borah, PhD is Professor and Head in the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has carried out research projects, published research papers in journals and conferences, and organized workshops and conferences. He is Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences. Dr. Borah has served as a keynote as well as invited speaker at several international conferences. His areas of research are data mining, information security, data science, and machine learning.

Ratna Raja Kumar Jambi, PhD is Principal at the Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. He has 17 years of teaching and research work. He has patents at both national and international levels and has published papers and book chapters on artificial intelligence and machine learning. He has organized national and international conferences. He received an Innovative Leader Award from the World Education Summit & Awards in 2019 in New Delhi.

Sharifah Sakinah Syed Ahmad, PhD is currently working as Associate Professor in the Department of Intelligent Computing & Analytics (ICA), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM). Her current research work is on the granular fuzzy rule-based system, evolutionary method, modeling, and data science. Dr. Ahmad has been a member of numerous program committees at national and international conferences in intelligent systems and soft computing, where she is involved in organizing and reviewing activities. She is an editorial board member of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and a member of the Association for Computing Machinery (ACM). She has co-authored numerous journal publications, conference articles, and book chapters. She has also received several grants from various funding agencies, including the Ministry of Education, Malaysia, and the Ministry of Science, Technology, and Innovation, Malaysia. Dr. Ahmad has 15 years of experience in teaching. She was also involved in conducting several workshops related to improving data science and modeling.

Mahendra Prabhakar Deore, PhD is an Assistant Professor of Computer Engineering at MKSSS's Cummins College of Engineering for Women, Pune, India. With over 16 years of dedicated teaching experience at undergraduate level, Dr. Deore has authored and published more than 20 SCI- and SCOPUS-indexed research papers. His primary areas of interest encompass big data, security, computer networks, and machine learning.

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