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Machine learning condition monitoring and diagnosis
Neural networks for classification and unsupervised training (data-driven application)
Data-driven applications, known also as Machine Learning (ML) is probably the most popular topic at the moment in all domains of the industry.
Engineering applications of ML include anomaly detection in machinery, condition monitoring and fault diagnosis.
Our team has experience in developing ML and Deep Learning data-driven applications and can help you solve and automate problems based on information hidden in all kinds of data.
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