Artificial Intelligence and Machine Learning
eBook - ePub

Artificial Intelligence and Machine Learning

An Intelligent Perspective of Emerging Technologies

  1. 146 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Machine Learning

An Intelligent Perspective of Emerging Technologies

About this book

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 these trends and technologies are being created and employed in the applications in which they are being used.

Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances.

With contributions from experts in the field, this reference book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.

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Yes, you can access Artificial Intelligence and Machine Learning by Rohit Tanwar, Surbhi Bhatia, Varun Sapra, Neelu Jyoti Ahuja, Rohit Tanwar,Surbhi Bhatia,Varun Sapra,Neelu Jyoti Ahuja in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

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