Artificial Intelligence and Knowledge Processing

Improved Decision-Making and Prediction

Hemachandran K, Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas, Hemachandran K, Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas

• Publisher: CRC Press
• Year: 2023
• Print ISBN: 9781032354163
• eBook ISBN: 9781000934625
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Industrial Engineering
• Index: Technology & Engineering

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 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.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Contents
• Preface
• Editors’ Biographies
• List of Contributors
• 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
• Index