IoT Sensors, ML, AI and XAI: Empowering A Smarter World
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Summary: | XI, 480 p. 259 illus., 241 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edition: | 1st ed. 2024. |
| Series: | Smart Sensors, Measurement and Instrumentation,
50 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-68602-3 |
| Format: | Electronic Book |
Table of Contents:
- 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.