Artificial Intelligence and Knowledge Processing : Improved Decision-Making and Prediction

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.

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).