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381 to 390 of 457 Results

Local_threshold.py Jul 7, 2021 - Fracture network segmentation Plain Text - 1.5 KB - MD5: 68ae24ecafdaa06a04bf09504eb44fd2 This file contains the workflow of the local threshold method
post_random_forest.py Jul 7, 2021 - Fracture network segmentation Plain Text - 1.5 KB - MD5: 2c64aaca9f227470a4c9602988e8f9e8 The predictions of the Random forest method can be merged into the original size of image with the code.
processing.bsh Jul 7, 2021 - Fracture network segmentation Unknown - 2.0 KB - MD5: 4e3d9a1297a097e73d8e5433ca5449e3 Prediction generator of the random forest method. The input file path, save path and trained model have to be chosen.
readme.txt Jul 7, 2021 - Fracture network segmentation Plain Text - 2.6 KB - MD5: 1d388e58b5fd9037ef315ff386a6da77 This file contains instruction of how to operate the codes.
Sato.py Jul 7, 2021 - Fracture network segmentation Plain Text - 908 B - MD5: 14c9f9428402bc7a550102032725a288 This file contains the workflow of the Sato method
trained_model_U_net_27.hdf5 Jul 7, 2021 - Fracture network segmentation Hierarchical Data Format - 89.9 MB - MD5: f8caecb9a1ddb337df1df2b6be0d82ed Trained model of the U-net model. This file is required to reproduce the results.
unet_v2_mod.py Jul 7, 2021 - Fracture network segmentation Plain Text - 3.5 KB - MD5: c4dbef168efd4edca836958329652022 The code to create the U-net architecture
Publication: Detecting micro fractures with X-ray computed tomography(Universität Stuttgart) Jun 28, 2021 This dataverse includes the underlying data of the publication: Lee, D., Karadimitriou, N., Ruf, M., & Steeb, H. (2022). Detecting micro fractures: A comprehensive comparison of conventional and machine-learning based segmentation methods. Solid Earth (EGU). Submitted.
thmc_SMP_0_70.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle Tabular Data - 1.6 MB - 13 Variables, 24697 Observations - UNF:6:kJCrJ2myXSEklpfIfr7AfQ==
alpha_T_30.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Tabular Data - 607 B - 3 Variables, 26 Observations - UNF:6:SUp9rrASiGNdUAppeo0opw==

Local_threshold.py