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Hands-On Deep Learning for IoT

You're reading from   Hands-On Deep Learning for IoT Train neural network models to develop intelligent IoT applications

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789616132
Length 308 pages
Edition 1st Edition
Languages
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Authors (3):
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Aditya Trivedi Aditya Trivedi
Author Profile Icon Aditya Trivedi
Aditya Trivedi
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Dr. Mohammad Abdur Razzaque Dr. Mohammad Abdur Razzaque
Author Profile Icon Dr. Mohammad Abdur Razzaque
Dr. Mohammad Abdur Razzaque
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks
2. The End-to-End Life Cycle of the IoT FREE CHAPTER 3. Deep Learning Architectures for IoT 4. Section 2: Hands-On Deep Learning Application Development for IoT
5. Image Recognition in IoT 6. Audio/Speech/Voice Recognition in IoT 7. Indoor Localization in IoT 8. Physiological and Psychological State Detection in IoT 9. IoT Security 10. Section 3: Advanced Aspects and Analytics in IoT
11. Predictive Maintenance for IoT 12. Deep Learning in Healthcare IoT 13. What's Next - Wrapping Up and Future Directions 14. Other Books You May Enjoy

IoT in healthcare

Globally, health and medical care services are facing tremendous challenges owing to, for example, soaring costs, an ageing population, an increase in the prevalence of chronic and/or multiple conditions, and a shortage of skilled healthcare professionals. In addition, traditional care services relying on average and/or qualitative data and a one-size-fits-all prescribing approach do not work well. In this context, the use of IoT in healthcare services addresses many of these challenges by offering the following features:

  • Seamless integration with various existing technologies
  • Support of big data processing and analysis
  • Personalized services
  • Remote and real-time monitoring-based connected healthcare services
  • Quantitative data, which offer more effective services than qualitative data
  • Interactive and real-time interaction between healthcare professionals and...
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