Hemachandran K., Rodriguez R.V., Subramaniam U., Balas V.E. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction

CRC Press, 2024. — 387 p. — ISBN: 978-1-032-35757-7.Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence (AI) in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors.Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.Introduction to Artificial Intelligence.
AI and Human Cognizance.
Integration of Artificial Intelligence with IoT for Smarter Systems: A Review.
Influence of Artificial Intelligence in Robotics.
A Review of Applications of Artificial Intelligence and Robotics in the Medical and Healthcare Sector.
Impact of the AI-Induced App ‘Babylon’ in the Healthcare Industry.
Identification and Prediction of Pneumonia from CXR Images Using Deep Learning.
Pulmonary Cancer Detection Using Deep Convolutional Networks.
Breast Cancer Prediction Using Machine Learning Algorithms.
Breast Cancer Histopathological Images Classification Using Deep Learning.
Machine Learning and Signal Processing Methodologies to Diagnose Human Knee Joint Disorders: A Computational Analysis.
Diagnostics and Treatment Help to Patients at Remote Locations Using Edge and Fog Computing Techniques.
Image Denoising Using Autoencoders.
Genetic Disorder Prediction Using Machine Learning Techniques.
Bayesian Models in Cognitive Neuroscience.
Knowledge Representation in AI.
ANN Model for Analytics.
AI and Real-Time Business Intelligence.
Introduction to Statistics and Probability.
Real Impacts of Machine Learning in Business.
A Study on the Application of Natural Language Processing Used in Business Analytics for Better Management Decisions: A Literature Review.
Detection of Polarity in the Native-Language Comments of Social Media Networks.
Machine Learning Techniques for Detecting and Analyzing Online Fake Reviews.
A Study on the Application of Expert Systems as a Support System for Business Decisions: A Literature Review.
Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector: An Overview.
Prediction of Terrorist Attacks throughout the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms.
Deep Learning Approach for Identifying Bird Species.
AI in the Energy Sector.
Artificial Intelligence in Fashion Design and IPRS.
Artificial Intelligence in Education: A Critic on English Language Teaching.
Review of Learning Analytics Techniques and Limitations in Higher Education: A 21st-Century Paradigm.