1st Edition

Artificial Intelligence and Machine Learning An Intelligent Perspective of Emerging Technologies

154 Pages 53 B/W Illustrations
by CRC Press

154 Pages 53 B/W Illustrations
by CRC Press

154 Pages 53 B/W Illustrations
by CRC Press

This book focuses on artificial intelligence (AI) and machine learning (ML) 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. This concise reference book offers a broad overview of the most important trends and discusses how... Read more

Chapter 1. Deep Learning Strategies in Biomedicine Imaging Technique

P. Jayadharshini, Santhiya S, Keerthika S, and Priyanka S

2. X-Ray-Based Pneumonia Detection Using ResNet50 and VGG16 Extracted Features and Conventional Machine Learning Algorithms

Amit Virmani, Akhilesh Singh, Ritesh Agarwal, Sanjeet Kumar, and Hemant Kumar

3. Enrichment of Human Life through Intelligent Wearable Technology

Santhiya S, Jayadharshini P, Abinaya N, Sharmila C, Vasugi M, and Swetha Nallamangai K N

4. Reliability and Validity of Survey Questionnaires for Identifying Learning Disabilities in an Intelligent Tutoring System

Neelu Jyothi Ahuja, Sarthika Dutt, and Swati Arya

5. A Survey of Artificial Intelligent Techniques for Cancer Detection

Neha Nandal and Rohit Tanwar

6. Ethical Issues in Medical Data

Naga Durga Saile K and B. Venkatesh

7. AI-Based Waste Classification in the Healthcare Industry

Saswati Kumari Behera, Aouthithiye Barathwaj SR Y, Vasundhara L, Saisudha G, and Haariharan N C

8. SmartWear: An IoT-Based Integration of Home Automation and Healthcare Watch

Saswati Kumari Behera, Saisudha G, and Vasundhara L

9. An Analytical Comparison of the Identification of Non-Small Cell Lung Cancer Nodules Using CT Scans and Prominent Deep Learning Models

Sunil Kumar, Vishal Awasthi, Amar Pal Yadav, Shivneet Tripathi, and Prachi Chhabra

10. Abnormality Classifications Using Machine Learning

Anupam Singh, Ravendra Singh, and Nitin Arora

11. Multilayer Perceptron-Based Speech Emotion Recognition for Identifying the Problematic Skills of Dyslexic Learners

Sarthika Dutt, Rohit Kanauzia, Aditi, and Himanshu Bartwal

12. An Improved Convolutional Neural Network-Based Detection Framework for COVID-19 Omicron and Delta Variants Employing CT Scans

Sunil Kumar, Abhishek Dwivedi, Shekhar Verma, and Abhishek Kumar Mishra

13. A Survey of IoT in Healthcare: Technologies, Applications, and Challenges

S. Subashini, G.K. Kamalam, and P. Vanitha

Biography

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.