Biologically Inspired Techniques in Many Criteria Decision-Making

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Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

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.


Presents recent research on Biologically Inspired Techniques in Many Criteria Decision-Making Proceedings of the 3rd International Conference on Biologically Inspired Techniques in Many-Criteria Decision-Making Technologies Written by experts in the field

Inhalt

.- 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031827051
    • Genre Technology Encyclopedias
    • Editor Satchidananda Dehuri, Sujata Dash, Ruppa K. Thulasiram, Rohen H. Singh, Margarita Favorskaya
    • Lesemotiv Verstehen
    • Anzahl Seiten 479
    • Herausgeber Springer Nature Switzerland
    • Größe H235mm x B155mm
    • Jahr 2025
    • EAN 9783031827051
    • Format Fester Einband
    • ISBN 978-3-031-82705-1
    • Veröffentlichung 15.03.2025
    • Titel Biologically Inspired Techniques in Many Criteria Decision-Making
    • Untertitel Proceedings of BITMDM 2024
    • Sprache Englisch

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