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Found 3 papers, 1 papers with code
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data
Finally, we apply the decoder decomposition to rank and select latent variables based on the coherent structures that they represent.
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
The accurate prediction of the two-phase heat transfer coefficient (HTC) as a function of working fluids, channel geometries and process conditions is key to the optimal design and operation of compact heat exchangers.
Data assimilation in a nonlinear time-delayed dynamical system
Reduced-order thermoacoustic models, which are nonlinear and time-delayed, can only qualitatively predict thermoacoustic oscillations.
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