Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection (eBook, PDF)

Redaktion: S, Balasubramaniam; Kumar, K. Satheesh; Tk, Manoj Kumar; Kadry, Seifedine

• Format: PDF

Produktbeschreibung

This book delves into the history of biometrics, the various systems that have been developed to date, the problems that have arisen from these systems, the necessity of AI-based biometrics systems, the various AI techniques.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 262
• Erscheinungstermin: 13. März 2025
• Englisch
• ISBN-13: 9781040329429
• Artikelnr.: 72735273

Inhaltsangabe

Preface. 1 Potential Benefits of BIAs
based ML/DL Models. 2 BIAs
based Deep Learning (DL) Models. 3 Evaluation of Bio
Inspired Algorithm
based Machine Learning and Deep Learning Models. 4 Disease Diagnosis: Traditional vs. Bio
Inspired Algorithm Approaches. 5 Algorithmic Heartbeat with Bio
Inspired Algorithms in Cardiac Health Monitoring. 6 Bio
Inspired Algorithms
based Machine Learning and Deep Learning Models for Covid
19 Diagnosis. 7 Bio
Inspired Intelligence in Early Cancer Detection: A Machine Learning Approach. 8 Bio
Inspired Algorithms in Machine Learning and Deep Learning for Diabetes Diagnosis. 9 A Multi
objective Optimized Bio
inspired Deep Learning framework for Autism Spectrum Disorder Diagnosis in Toddlers. 10 Bio
Inspired Algorithms using Machine Learning and Deep Learning for Social Phobia Treatment. 11 Bio
Inspired Algorithms
based Machine Learning models for Neural Disorders Prediction: A Focus on Depression Detection. 12 Research Directions and Challenges in Bio
Inspired Algorithms for Machine Learning and Deep Learning Models in Healthcare. Index.