Dehuri / Dash / Thulasiram Biologically Inspired Techniques in Many Criteria Decision-Making

Proceedings of BITMDM 2024
1. Auflage 2025
ISBN: 978-3-031-82706-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 45, 479 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Dehuri, Satchidananda

Dash, Sujata

Thulasiram, Ruppa K.

Singh, Rohen H.

Favorskaya, Margarita

Inhaltsverzeichnis

.- 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.