Stochastic pix2vid: a new spatiotemporal deep learning method for image-to-video synthesis in geologic \(\mathrm{CO_2}\) storage prediction
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Publication:6600805
DOI10.1007/s10596-024-10298-7zbMATH Open1544.86003MaRDI QIDQ6600805
Michael J. Pyrcz, Carlos Torres-Verdín, Misael M. Morales
Publication date: 10 September 2024
Published in: Computational Geosciences (Search for Journal in Brave)
recurrent neural networkconvolutional neural networkproxy modelspatiotemporal predictionimage-to-video synthesis
Artificial neural networks and deep learning (68T07) Computational methods for problems pertaining to geophysics (86-08)
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