Textbook in PDF format

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.
Preface
Chapter 1 Introduction to Artificial Intelligence
Chapter 2 AI and Human Cognizance
Chapter 3 Integration of Artificial Intelligence with IoT for Smarter Systems: A Review
Chapter 4 Influence of Artificial Intelligence in Robotics
Chapter 5 A Review of Applications of Artificial Intelligence and Robotics in the Medical and Healthcare Sector
Chapter 6 Impact of the AI-Induced App ‘Babylon’ in the Healthcare Industry
Chapter 7 Identification and Prediction of Pneumonia from CXR Images Using Deep Learning
Chapter 8 Pulmonary Cancer Detection Using Deep Convolutional Networks
Chapter 9 Breast Cancer Prediction Using Machine Learning Algorithms
Chapter 10 Breast Cancer Histopathological Images Classification Using Deep Learning
Chapter 11 Machine Learning and Signal Processing Methodologies to Diagnose Human Knee Joint Disorders: A Computational Analysis
Chapter 12 Diagnostics and Treatment Help to Patients at Remote Locations Using Edge and Fog Computing Techniques
Chapter 13 Image Denoising Using Autoencoders
Chapter 14 Genetic Disorder Prediction Using Machine Learning Techniques
Chapter 15 Bayesian Models in Cognitive Neuroscience
Chapter 16 Knowledge Representation in AI
Chapter 17 ANN Model for Analytics
Chapter 18 AI and Real-Time Business Intelligence
Chapter 19 Introduction to Statistics and Probability
Chapter 20 Real Impacts of Machine Learning in Business
Chapter 21 A Study on the Application of Natural Language Processing Used in Business Analytics for Better Management Decisions: A Literature Review
Chapter 22 Detection of Polarity in the Native-Language Comments of Social Media Networks
Chapter 23 Machine Learning Techniques for Detecting and Analyzing Online Fake Reviews
Chapter 24 A Study on the Application of Expert Systems as a Support System for Business Decisions: A Literature Review
Chapter 25 Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector: An Overview
Chapter 26 Prediction of Terrorist Attacks throughout the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms
Chapter 27 Deep Learning Approach for Identifying Bird Species
Chapter 28 AI in the Energy Sector
Chapter 29 Artificial Intelligence in Fashion Design and IPRS
Chapter 30 Artificial Intelligence in Education: A Critic on English Language Teaching
Chapter 31 Review of Learning Analytics Techniques and Limitations in Higher Education: A 21st-Century Paradigm