Artificial Intelligence and Machine Learning (eBook, PDF)

An Intelligent Perspective of Emerging Technologies
Redaktion: Tanwar, Rohit; Ahuja, Neelu Jyoti; Sapra, Varun; Bhatia, Surbhi

• Format: PDF

Produktbeschreibung

This book focuses on Artificial Intelligence and Machine Learning technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 154
• Erscheinungstermin: 7. Dezember 2023
• Englisch
• ISBN-13: 9781003850489
• Artikelnr.: 69173583

Autorenporträt

Rohit Tanwar, PhD, is an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, Misraspatti, India. Surbhi Bhatia Khan, PhD, a Lecturer in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. Varun Sapra, PhD, is presently associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Before joining academia, he was in the corporate sector and worked at Cupid Software, Web Opac Applications, CMA, and many more. Neelu Jyothi Ahuja, PhD, is a Professor and Head of the Department of Systemics at the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Inhaltsangabe

Chapter 1. Deep Learning Strategies in Biomedicine Imaging Technique. 2. X-Ray-Based Pneumonia Detection Using ResNet50 and VGG16 Extracted Features and Conventional Machine Learning Algorithms. 3. Enrichment of Human Life through Intelligent Wearable Technology. 4. Reliability and Validity of Survey Questionnaires for Identifying Learning Disabilities in an Intelligent Tutoring System. 5. A Survey of Artificial Intelligent Techniques for Cancer Detection. 6. Ethical Issues in Medical Data. 7. AI-Based Waste Classification in the Healthcare Industry. 8. SmartWear: An IoT-Based Integration of Home Automation and Healthcare Watch. 9. An Analytical Comparison of the Identification of Non-Small Cell Lung Cancer Nodules Using CT Scans and Prominent Deep Learning Models. 10. Abnormality Classifications Using Machine Learning. 11. Multilayer Perceptron-Based Speech Emotion Recognition for Identifying the Problematic Skills of Dyslexic Learners. 12. An Improved Convolutional Neural Network-Based Detection Framework for COVID-19 Omicron and Delta Variants Employing CT Scans. 13. A Survey of IoT in Healthcare: Technologies, Applications, and Challenges.