Biologically Inspired Techniques in Many Criteria Decision-Making: Proceedings of BITMDM 2024

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Satchidananda Dehuri Sujata Dash

Biologically Inspired Techniques in Many Criteria Decision-Making

Proceedings of BITMDM 2024

Satchidananda Dehuri, Sujata Dash, Ruppa K. Thulasiram , Rohen H. Singh

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English

Springer International Publishing AG
15 March 2025

Automatic control engineering; Machine learning

Series: Learning and Analytics in Intelligent Systems

This book includes selected high-quality research papers presented at 3rd International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2024) organized by School of Engineering and Technology, Nagaland University, Dimapur, India on 6th and 7th December 2024. This book presents the recent advances in techniques which are biologically inspired and their usage in the field of single and many criteria decision making. Further, the topics covered in this book are divided into different sections like: i) healthcare and biomedical applications, ii) security, fraud detection, and cybersecurity, iii) intelligent systems and decision support, iv) agriculture and environment, v) image processing and multi-media analysis, and vi) emerging technologies and applications.

Edited by: Satchidananda Dehuri, Sujata Dash, Ruppa K. Thulasiram, Rohen H. Singh, Margarita Favorskaya
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 45
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031827051
ISBN 10: 3031827058
Series: Learning and Analytics in Intelligent Systems
Pages: 479
Publication Date: 15 March 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Hardback
Publisher's Status: Active

.- Evaluating the top Machine Learning Classifiers Used in Diabetes Prediction.- A Machine Learning-Based Approach to Enhance Fraud Detection Using Decision Tree.- Oropharyngeal Cancer Detection with Machine Learning for Precision Diagnosis.- A Deep Learning Framework for Crime Detection.- Deep Learning and Bio-Inspired Algorithm Based Chat Bot, etc.