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IoT Implemented Indoor Air Quality and Health Monitoring System Using IoT
0 - Default Title
Description
In addition, this book focuses on developing an environmental detection sensor system that utilizes devices to monitor air quality for indoor and outdoor applications. Furthermore, this investigation highlights the importance of real-time verification, collection, and analysis of health and environmental data from various sources to implement effective health monitoring systems. Techniques such as fuzzy logic, artificial intelligence, machine learning, and deep learning have proven valuable in accurately predicting health outcomes and identifying hazardous situations. Additionally, this work explores strategies for preventing respiratory and related diseases, emphasizing minimizing health risks.
Product details
- Binding:
- Paperback
- Number of Pages:
- 48
- Release Date:
- 2024-12-24
- Publication Date:
- 2024-09-11
- Publisher:
- Eliva Press
- Languages:
- Original: English
- ISBN10:
- 9999322700
- ISBN13:
- 9789999322706
- Weight:
- 86 g
- Height:
- 152 cm
- Width:
- 229 cm
- Thickness:
- 3 cm
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