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Classification of Signals

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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural

Yann Cherdo^1,2, Benoit Miramond², Alain Pegatoquet²

¹Renault Software Labs, 2600 Route des Crêtes, Sophia Antipolis, 06560 Valbonne, France.

Sensors (Basel, Switzerland)

|June 10, 2023

Summary

This summary is machine-generated.

This study introduces efficient machine learning models for detecting car anomalies using sensor data. Optimized models reduce computational costs by up to 60% while maintaining performance, aiding predictive maintenance.

Failed At:

2026-06-19T13:40:10.206709+00:00

Keywords:

Controller Area Network bus Internet of Things anomaly detection anomaly likelihood car computational costs convolutional neural network gated recurrent unit long short-term memory recurrent neural network sensors time series unsupervised

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