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Essay on Machine Learning to Detect Anomalies in Embedded Networks in Heavy Vehicles
Engineering
4 Pages • Essays / Projects • Year Uploaded: 2021
This paper proposes to use machine learning to support domain-experts by avoiding them from contemplating irrelevant data and rather pointing them to the important parts within the recordings. The basic idea is to learn the typical behavior from the accessible timing Analysis and then to independently identify unexpected deviations and report them as anomalies. Our proposed model's main motive is to try to find the better architecture model and Hyperparameters for the model. We used LSTM auto encoder technique to find sophisticated anomalies with varied hyper-parameters.
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