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Classroom Contents
Practical Application of TinyML in Battery Powered Anomaly Sensors for Predictive Maintenance of Industrial Assets
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- 1 Introduction
- 2 Demonstration
- 3 Autoscaling
- 4 Training the models
- 5 How do you trigger an anomaly
- 6 Why raw acceleration data
- 7 Low power wireless communication
- 8 Machine learning approach
- 9 Physicsbased modeling
- 10 Sensor types
- 11 Other applications
- 12 Grey Zone vs Black Zone
- 13 Can the sensor train update its model
- 14 How suspectable is the anomaly detector
- 15 Contact information
- 16 Sponsors
