Artificial Intelligence and Machine Learning
An Intelligent Perspective of Emerging Technologies
Herausgeber: Tanwar, Rohit; Sapra, Varun; Bhatia, Surbhi
Artificial Intelligence and Machine Learning
An Intelligent Perspective of Emerging Technologies
Herausgeber: Tanwar, Rohit; Sapra, Varun; Bhatia, Surbhi
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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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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.
Produktdetails
- Produktdetails
- Verlag: Bsp Books Pvt. Ltd.
- Seitenzahl: 146
- Erscheinungstermin: 7. Dezember 2023
- Englisch
- Abmessung: 234mm x 156mm x 11mm
- Gewicht: 399g
- ISBN-13: 9781032478463
- ISBN-10: 1032478462
- Artikelnr.: 68713413
- Verlag: Bsp Books Pvt. Ltd.
- Seitenzahl: 146
- Erscheinungstermin: 7. Dezember 2023
- Englisch
- Abmessung: 234mm x 156mm x 11mm
- Gewicht: 399g
- ISBN-13: 9781032478463
- ISBN-10: 1032478462
- Artikelnr.: 68713413
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.
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.
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.
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.
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.