Anomaly Detection in IoT Data
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This solution is a deep learning-based approach to learn and understand the patterns in IoT sensor data. It aims at learning the normal behavior patterns of the sensor data during training process using generative algorithms. Once trained, the model can identify abnormal signals from the sensor and classify them as anomalous.
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