TACE is a Cartesian-based machine learning model designed to predict both scalar and tensorial properties. In principle, the framework supports any tensorial properties (either direct or conservative) ...
The tensor_frames package implements the message passing class described in the Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing and also depicted in the above ...
Abstract: Tensor decompositions can be a powerful tool when faced with the curse of dimensionality and have been applied in myriad applications. Their application to problems in the control community ...
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Abstract: Edge detection is one of the basic operations carried out in image processing and object identification. As it plays an important role in image processing which needs to be optimized, ...
The work considers the modeling of turbulent flow in radial diffuser with axial feeding. Due to its claimed capability to predict flow including features such as separation, curvature and adverse ...
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