Artificial Intelligence and Knowledge Processing (eBook, ePUB)

Improved Decision-Making and Prediction
Redaktion: K, Hemachandran; Balas, Valentina Emilia; Subramaniam, Umashankar; Rodriguez, Raul V.

• Format: ePub

Produktbeschreibung

The book 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 386
• Erscheinungstermin: 29. September 2023
• Englisch
• ISBN-13: 9781000934625
• Artikelnr.: 68559905

Autorenporträt

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).

Inhaltsangabe

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