Deep Learning in Internet of Things for Next Generation Healthcare
eBook - ePub

Deep Learning in Internet of Things for Next Generation Healthcare

  1. 310 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deep Learning in Internet of Things for Next Generation Healthcare

About this book

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes.

  • Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics
  • Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more
  • Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare
  • Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications
  • Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges

Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Deep Learning in Internet of Things for Next Generation Healthcare by Lavanya Sharma,Pradeep Kumar Garg in PDF and/or ePUB format, as well as other popular books in Computer Science & Biomedical Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Editor Biographies
  9. List of Contributors
  10. Chapter 1 Rise of Communication Devices in IoT
  11. Chapter 2 Architecture Framework for Deep Learning Systems and IoT: An Overview
  12. Chapter 3 Deep Learning and Human Vision in IoT
  13. Chapter 4 Impact of IoT on Big Data Analytics and Applications in Medical Images
  14. Chapter 5 Geospatial Data Collection Tools in Healthcare
  15. Chapter 6 Geospatial Technology in Healthcare
  16. Chapter 7 Advancement of Geospatial Technology in Healthcare Systems
  17. Chapter 8 Implementation of Deep Learning in Assessment of Health-Hazardous Air Pollutants
  18. Chapter 9 Technological Interventions in Healthcare
  19. Chapter 10 Disaster and Emergency Healthcare
  20. Chapter 11 Deep Learning and IoT in Healthcare
  21. Chapter 12 Improved Patient Care Using Robotics in the Healthcare Industry: Benefits, Real-Time Applications, and Challenges
  22. Chapter 13 Deep Learning Processes in MRI Images
  23. Chapter 14 Artificial Intelligence and Robotics in Healthcare: Transforming the Indian Landscape
  24. Chapter 15 Medical Insurance Fraud Detection
  25. Chapter 16 Privacy and Security Issues for IoT and Deep Learning in Next-Generation Healthcare: An Indian Perspective
  26. Chapter 17 A Systematic Review on the Future of Internet of Things Applications in Healthcare
  27. Chapter 18 The Extraordinary Importance of 6G Network Development and 3D Holography in Future Healthcare
  28. Chapter 19 Tracking of Disease—A Review of the State of the Art of Technology for Next Generation Healthcare
  29. Chapter 20 Disease Detection Using TensorFlow Methodology
  30. Chapter 21 AI and Deep Learning: Applications in Healthcare
  31. Index