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

Author:   Satchidananda Dehuri ,  Sujata Dash ,  Ruppa K. Thulasiram ,  Rohen H. Singh
Publisher:   Springer International Publishing AG
Volume:   45
ISBN:  

9783031827051


Pages:   479
Publication Date:   15 March 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Biologically Inspired Techniques in Many Criteria Decision-Making: Proceedings of BITMDM 2024


Overview

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.

Full Product Details

Author:   Satchidananda Dehuri ,  Sujata Dash ,  Ruppa K. Thulasiram ,  Rohen H. Singh
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   45
ISBN:  

9783031827051


ISBN 10:   3031827058
Pages:   479
Publication Date:   15 March 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- 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.

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NOV RG 20252

 

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