IEEE18d
A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis
as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine learning-based approaches have gained relevance in flow regime classification research in the ...
GitHub6y
Machine Learning for .NET
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 ...