ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

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We used machine learning-based models such as k-Nearest Neighbour (KNN), AdaBoost (AB), Random Forest (RF), and Naive Bayes (NB) to analyse the collected data. Machine learning excels at recognising ...

Our ConvFormer is deployment-friendly owing to lightweight designs, such as linear and separation operations. To enhance cross-machine transferability of the informative fault features extracted by ...

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