Artificial Intelligence and Knowledge Processing
Improved Decision-Making and Prediction
1st Edition
Published on 5. May 2025
Book
Paperback/Softback
368 pages
978-1-032-35757-7 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate, Undergraduate Advanced, and Undergraduate Core
Illustrations
148 s/w Abbildungen, 22 s/w Photographien bzw. Rasterbilder, 126 s/w Zeichnungen, 39 s/w Tabellen
39 Tables, black and white; 126 Line drawings, black and white; 22 Halftones, black and white; 148 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 21 mm
Weight
588 gr
ISBN-13
978-1-032-35757-7 (9781032357577)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hemachandran K | Raul V. Rodriguez | Umashankar Subramaniam
Artificial Intelligence and Knowledge Processing
Improved Decision-Making and Prediction
E-Book
09/2023
1st Edition
CRC Press
€73.99
Available for download
Hemachandran K | Raul V. Rodriguez | Umashankar Subramaniam
Artificial Intelligence and Knowledge Processing
Improved Decision-Making and Prediction
E-Book
09/2023
1st Edition
CRC Press
€73.99
Available for download
Hemachandran K | Raul V. Rodriguez | Umashankar Subramaniam
Artificial Intelligence and Knowledge Processing
Improved Decision-Making and Prediction
Book
09/2023
1st Edition
CRC Press
€206.60
Shipment within 10-20 days
Persons
Hemachandran K is currently working as a Professor in the Department of Analytics and Artificial Intelligence at the School of Business, Woxsen University, Hyderabad, Telangana, India. He is a passionate teacher with 14 years of teaching experience and 5 years of research experience. His research interest are Machine Learning, Deep Learning, Computer Vision, NLP, Knowledge Engineering and Decision Support Systems. He has three patents to his credentials. He has more than 20 journals and international conference publications to his credit and has served as a resource person at various national and international scientific conferences.
Raul Villamarin Rodriguez is the Professor, School of Business, Woxsen University, Hyderabad, Telangana, India. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has co-authored two reference books and has more than 70 publications to his credit.
Umashankar Subramaniam is an Associate Professor in Electrical Engineering at the College of Engineering, Prince Sultan University, Riyadh Saudi Arabia. Previously he has worked as an Associate Professor and Head of the Department of Energy, VIT, Vellore. He has more than, 15 years of teaching, research, and industrial R&D experience. He has published more than 250 research papers in national and international journals and prestigious conferences. He is an Editor of IEEE Access, Heliyon, and other high-impact journals.
Valentina E. Balas is a Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. She is the Editor-in-Chief to the International Journal of Advanced Intelligence Paradigms (IJAIP) and to the International Journal of Computational Systems Engineering (IJCSysE).
Raul Villamarin Rodriguez is the Professor, School of Business, Woxsen University, Hyderabad, Telangana, India. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has co-authored two reference books and has more than 70 publications to his credit.
Umashankar Subramaniam is an Associate Professor in Electrical Engineering at the College of Engineering, Prince Sultan University, Riyadh Saudi Arabia. Previously he has worked as an Associate Professor and Head of the Department of Energy, VIT, Vellore. He has more than, 15 years of teaching, research, and industrial R&D experience. He has published more than 250 research papers in national and international journals and prestigious conferences. He is an Editor of IEEE Access, Heliyon, and other high-impact journals.
Valentina E. Balas is a Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. She is the Editor-in-Chief to the International Journal of Advanced Intelligence Paradigms (IJAIP) and to the International Journal of Computational Systems Engineering (IJCSysE).
Content
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 on Applications of Artificial Intelligence and Robotics in Medical and Healthcare Sector. Chapter 6. Impact of the AI-INDUCED APP 'BABYLON' in the healthcare industry. Chapter 7. Identification & Prediction of Pneumonia From CXR Images Using Deep Learning. Chapter 8. Pulmonary cancer detection using deep convolutional networks. Chapter 9. Breast Cancer prophecy Using Machine Learning algorithm (Random forest, Decision Tree, Logistic Regression Techniques). Chapter 10. Breast cancer histopathological images classification using deep learning. Chapter 11. Machine Learning And Signal Processing Methodologies To Diagnose The Human Knee Joint Disorders - A Computational Analysis. Chapter 12. Diagnostics and Treatment help to patients at Remote location using Edge and Fog Computing Techniques (EFCT). 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 application of Natural Language Processing (NLP) technique 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 Application Of Expert System 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 over the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms. Chapter 27. Deep Learning Approach for Identifying the Bird Species. Chapter 28. AI in Energy Sector. Chapter 29. Artificial Intelligence in the Fashion Design and IPRS. Chapter 30. Artificial intelligence in education: A Critic on English Language Teaching. Chapter 31. Review of Learning Analytics Techniques and its Limitations in the Higher Education: A 21st century paradigm