Artificial Intelligence Theory, Models, and Applications (eBook, PDF)

Redaktion: Kaliraj, P.; Devi, T.

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 506
• Erscheinungstermin: 21. Oktober 2021
• Englisch
• ISBN-13: 9781000460605
• Artikelnr.: 62503916

Autorenporträt

Prof. P. Kaliraj is the Vice-Chancellor of Bharathiar University, Coimbatore, India. Prof. T. Devi is the dean of faculty of research at the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Inhaltsangabe

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.