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Artificial Intelligence Theory, Models, and Applications

Sprachen: Englisch. 23,4 cm / 15,6 cm / 2,7 cm ( B/H/T )
Buch (Softcover), 506 Seiten
EAN 9781032106137
Veröffentlicht März 2025
Verlag/Hersteller Auerbach Publications
€ 87,60 inkl. MwSt.
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Beschreibung

This book covers advances that have emerged over the last two decades of AI research. Examining both theoretical and practical aspects, it presents applications of AI in such various domains as policy management, medical imaging, agriculture, technology education, business, and healthcare It also covers machine learning techniques.

Inhaltsverzeichnis

Preface. Acknowledgments. Editors. Contributors. Chapter 1 Artificial Intelligence: A Complete Insight. Chapter 2 Artificial Intelligence and Gender. Chapter 3 Artificial Intelligence in Environmental Management. Chapter 4 Artificial Intelligence in Medical Imaging. Chapter 5 Artificial Intelligence (AI) - Improving Customer Experience (CX). Chapter 6 Artificial Intelligence in Radiotherapy. Chapter 7 Artificial Intelligence in Systems Biology: Opportunities in Agriculture, Biomedicine, and Healthcare. Chapter 8 Artificial Intelligence Applications in Genetic Disease/Syndrome Diagnosis. Chapter 9 Artificial Intelligence in Disease Diagnosis via Smartphone Applications. Chapter 10 Artificial Intelligence in Agriculture. Chapter 11 Artificial Intelligence-Based Ubiquitous Smart Learning Educational Environments. Chapter 12 Artificial Intelligence in Assessment and Evaluation of Programme Outcomes/Programme Specific Outcomes. Chapter 13 Artificial Intelligence-Based Assistive Technology. Chapter 14 Machine Learning. Chapter 15 Machine Learning in Human Resource Management. Chapter 16 Machine Learning Models in Product Development and its Statistical Evaluation. Chapter 17 Influence of Artificial Intelligence in Clinical and Genomic Diagnostics. Chapter 18 Applications of Machine Learning in Economic Data Analysis and Policy Management. Chapter 19 Industry 4.0: Machine Learning in Video Indexing. Chapter 20 A Risk-Based Ensemble Classifier for Breast Cancer Diagnosis. Chapter 21 Linear Algebra for Machine Learning. Chapter 22 Identification of Lichen Plants and Butterflies Using Image Processing and Neural Networks in Cloud Computing. Chapter 23 Artificial Neural Network for Decision Making. Index.

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