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L-MAU: A multivariate time-series network for predicting the Cahn-Hilliard microstructure evolutions via low-dimensional approaches.
Sheng-Jer Chen
Hsiu-Yu Yu
Published in:
Comput. Phys. Commun. (2024)
Keyphrases
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multivariate time series
low dimensional
dimensionality reduction
high dimensional
data mining
data points
high dimensional data
data sets
support vector
preprocessing
conditional random fields
dimension reduction