Semi-Supervised Learning
Combining labeled and unlabeled data
Description
Description
Semi-Supervised Learning uses a small amount of labeled data with a large amount of unlabeled data to improve learning accuracy.
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AI-based Predictive Maintenance
Forecasts component failures
- Predictive maintenance uses AI to analyze data and predict when parts need servicing.
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Regenerative Braking
Energy recovery during braking
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Radar Sensors
Detects objects using radio waves
- Radar sensors measure distance and speed of objects, crucial for adaptive cruise and collision avoidance.
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