Stochastic Simulation and Safety Research for Hydrosystems (LS3)

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91 to 100 of 110 Results

Gasmat.rar Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data RAR Archive - 532.3 MB - MD5: 2f480b77c9db7c0b3fce17eeddc4530c Data 3d matrices containing the gas path development in time along 3rd-dimension
GaussSmooth_test.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 1.1 KB - MD5: 699637f38d1ae538c24706f2132b69f8 Code code: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"
Modelcounter_block.rar Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data RAR Archive - 2.9 MB - MD5: 0c23320bdad7b2b427d4ba191b6e77c3 Data 2d arrays, containing col1: loop counter number and col2: number of blocks invaded.
Moments.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 962 B - MD5: a4c60d20771a1040ed1f89b4f38bed34 Code code: Spatial moments (zeroth, first and second) computation of images in 2D space
mygaussfilt.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 497 B - MD5: cf38db012533faddf3c33e38a13426e6 Code code: Gaussian blurring kernel
MyPostProcessing.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 8.1 KB - MD5: ca63840a125c066e0803c3d5b0524c0a Code code: main post-processing code (methods of comparison); calls "mygaussfilt.m" and "Moments.m"
Timematch_all_IP.mat Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data MATLAB Data - 5.5 MB - MD5: 548da79dda1450bd18c85d10276c1510 Data cell array consisting the entire time-match sequence for each realization.
Timematch_final_IP.mat Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data MATLAB Data - 2.3 KB - MD5: af688e30918cac40a80dcdf935027986 Data each row contains the loop counter for the final image time-match of that realization
Time_match.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 2.1 KB - MD5: 13577a254906907dc9aed2f6c6fb498b Code volume based time-matching code
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-634, DaRUS, V1 This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

Gasmat.rar

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

RAR Archive - 532.3 MB -

Data

3d matrices containing the gas path development in time along 3rd-dimension

GaussSmooth_test.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 1.1 KB -

Code

code: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"

Modelcounter_block.rar

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

RAR Archive - 2.9 MB -

Data

2d arrays, containing col1: loop counter number and col2: number of blocks invaded.

Moments.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 962 B -

Code

code: Spatial moments (zeroth, first and second) computation of images in 2D space

mygaussfilt.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 497 B -

Code

code: Gaussian blurring kernel

MyPostProcessing.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 8.1 KB -

Code

code: main post-processing code (methods of comparison); calls "mygaussfilt.m" and "Moments.m"

Timematch_all_IP.mat

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

MATLAB Data - 5.5 MB -

Data

cell array consisting the entire time-match sequence for each realization.

Timematch_final_IP.mat

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

MATLAB Data - 2.3 KB -

Data

each row contains the loop counter for the final image time-match of that realization

Time_match.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 2.1 KB -

Code

volume based time-matching code

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-634, DaRUS, V1

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

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