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Full Description
Adaptive AI in Sensor Informatics: Methods, Applications, and Implications explores the growing need for efficient, interpretable, and reliable adaptive AI systems tailored to wireless sensor networks. The book highlights how adaptive AI strengthens collaboration between humans and artificial intelligence by enabling transparent decision-making processes. Aimed at academics, professionals, and students, it provides an accessible yet thorough guide to understanding the intersection of adaptive AI and sensor informatics, focusing on practical implementation and the development of models that are both trustworthy and user-friendly. Readers will gain insight into the essential role adaptive AI plays in advancing wireless sensor networks across various sectors.
The book also examines the unique challenges and opportunities that arise when deploying adaptive AI in real-world sensor environments. It offers actionable advice for designing AI models that comply with regulations and support user confidence, especially in areas such as healthcare, environmental monitoring, smart cities, and industrial automation.
Contents
1. AI in Sensor Technology
2. AI for Sensor Data Analysis
3. Role of AI in Wireless Sensor Network (WSN)
4. AI driven-Smart data processing in WSN
5. Energy Efficient communication with adaptive AI models
6. Adaptive AI techniques for the deployment of WSN
7. AI in Smart Sensing and Things
8. AI in Sensor Cloud
9. AI powered Edge computing for IoT
10. Adaptive AI in techniques for Industrial Internet of Things
11. AI in Urban Infrastructure Monitoring
12. Real-World Applications
13. Future Directions and Emerging Trends of Adaptive AI in WSN, IoT, IIoT
