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Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng.
Paper No: OMAE-23-1162
Published Online: March 18, 2024
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng.
Paper No: OMAE-23-1128
Published Online: March 8, 2024
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. February 2025, 147(1): 011202.
Paper No: OMAE-23-1036
Published Online: March 7, 2024
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. February 2025, 147(1): 011201.
Paper No: OMAE-23-1140
Published Online: March 7, 2024
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 1 An overview of the training process of the wave runup prediction model based on deep learning networks More about this image found in An overview of the training process of the wave runup prediction model base...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 2 Basic architecture of LSTM cell More about this image found in Basic architecture of LSTM cell
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 3 A causal convolution More about this image found in A causal convolution
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 4 A dilated convolution with dilation factors d = [1,2,4] and filter size k = 3 More about this image found in A dilated convolution with dilation factors d = [1,2,4] and filter size ...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 5 Illustration of the connected TCN architecture More about this image found in Illustration of the connected TCN architecture
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 6 Top view of the semisubmersible model arrangement in the deep-water wave basin More about this image found in Top view of the semisubmersible model arrangement in the deep-water wave ba...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 7 Comparison of the measured and target wave power spectra (W3) More about this image found in Comparison of the measured and target wave power spectra (W3)
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 8 Comparison of original and downsampled time series More about this image found in Comparison of original and downsampled time series
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 9 Local prediction accuracies of the LSTM models with ( a ) different nodes and ( b ) layers More about this image found in Local prediction accuracies of the LSTM models with ( a ) different nodes a...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 10 Optimized LSTM model structure More about this image found in Optimized LSTM model structure
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 11 Average local prediction accuracies of TCN models with different structures parameters: ( a ) kernel size and ( b ) stack number More about this image found in Average local prediction accuracies of TCN models with different structures...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 12 Prediction accuracies of TCN models with different filters More about this image found in Prediction accuracies of TCN models with different filters
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 13 Local prediction accuracies of TCN models with different filters More about this image found in Local prediction accuracies of TCN models with different filters
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 14 Optimized TCN model structure: ( a ) temporal convolutional network architecture and ( b ) temporal residual block More about this image found in Optimized TCN model structure: ( a ) temporal convolutional network archite...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 15 Comparison of measured and predicted wave runups by the optimum TCN and LSTM models More about this image found in Comparison of measured and predicted wave runups by the optimum TCN and LST...
Image
in A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction
> Journal of Offshore Mechanics and Arctic Engineering
Published Online: March 7, 2024
Fig. 16 Comparison of measured and multistep predicted wave runups by the TCN and LSTM models: ( a ) prediction length = 8, ( b ) prediction length = 16, ( c ) prediction length = 24, and ( d ) prediction length = 32 More about this image found in Comparison of measured and multistep predicted wave runups by the TCN and L...
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