Artificial Intelligence and Knowledge Processing

Name: Artificial Intelligence and Knowledge Processing | Improved Decision-Making and Prediction
Brand: CRC Press
Price: 69.99 EUR
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Improved Decision-Making and Prediction

Hemachandran K Raul V. Rodriguez Umashankar Subramaniam Valentina Emilia Balas(Herausgeber*in)

CRC Press

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Erschienen am 29. September 2023

386 Seiten

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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).

Herausgeber*in

Hemachandran K

Raul V. Rodriguez

Umashankar Subramaniam

Prince Sultan University, Saudi Arabia

Valentina Emilia Balas

Aurel Vlaicu University of Arad, Romania

Inhalt

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

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