Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

25,591 to 25,600 of 25,626 Results
release.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 29.5 MB - MD5: 2e358ba20bb0d45552fa4e6066220390
Executable files of the analysis system
sourceCode.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 29.5 MB - MD5: cf60c265a2cb8e048f2ca44d571ad19a
Java source code of the analysis system
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.
ANN_params_MSE_L2_PHY.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 19.1 KB - MD5: 9b88868eeef277937d0c729615e217de
ANN parameters for the regularization method "MSE+L2+PHY"
ANN_params_MSE_L2.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 18.7 KB - MD5: 9a85fe1d359cb162a8c4bc183545ce46
ANN parameters for the regularization method "MSE+L2"
ANN_params_MSE_PHY.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 19.0 KB - MD5: 1b13a37e8fb1bf8ee2630519982ae0e4
ANN parameters for the regularization method "MSE+PHY"
ANN_params_MSE.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 18.5 KB - MD5: ed241c309250b1d17eb682b750fa1244
ANN parameters for the regularization method "MSE"
README.md
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
Markdown Text - 3.0 KB - MD5: 3aa442599a974dcf6b70ad2c45da506c
README file explaining how the data is formatted
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-633, DaRUS, V1
This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data...
io_data.mat
Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System
MATLAB Data - 493.4 MB - MD5: 4368b82d61d591e5e7b76228741d13ae
This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.