20 results on '"Mo, Shaoxing"'
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2. Uncertainty quantification of CO[formula omitted] plume migration in highly channelized aquifers using probabilistic convolutional neural networks
3. Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks
4. Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
5. Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification
6. Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media
7. Deep learning based optimization under uncertainty for surfactant-enhanced DNAPL remediation in highly heterogeneous aquifers
8. Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
9. Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks
10. An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling
11. At the Traffic Intersection, Stopping, or Walking? Pedestrian Path Prediction Based on KPOF-GPDM for Driving Assistance
12. Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields
13. Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother
14. Filling the gap between GRACE-and GRACE-FO-derived terrestrial water storage anomalies with Bayesian convolutional neural networks
15. Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities
16. Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification
17. Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media
18. A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling
19. Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification.
20. Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media.
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