IoT Sensors, ML, AI and XAI: Empowering A Smarter World
| Institution som forfatter: | |
|---|---|
| Andre forfattere: | , |
| Summary: | XI, 480 p. 259 illus., 241 illus. in color. text |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Udgivelse: | 1st ed. 2024. |
| Serier: | Smart Sensors, Measurement and Instrumentation,
50 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-68602-3 |
| Format: | Electronisk Bog |
Indholdsfortegnelse:
- Sensors ML and AI for Real World Applications
- Flying IoT Sensor Fusion Performance Analysis for UAV Applications in Indoor Spaces
- Machine Learning Empowered IoT Devices Analysis of Indoor and Outdoor Temperature and Health Risks
- Identification of IoT devices through Machine Learning and hardware fingerprints based on clock skew.