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281 to 290 of 501 Results
Adobe PDF - 56.9 KB - MD5: 988914e0382192fb5f909fb0ac8fbd81
Datasheet of the used Polyurethane Foam PPI 10.
Adobe PDF - 92.4 KB - MD5: cdf366bb5ab5e735dadf709c92ed6bfd
Visualization of the displacement and torsion angle controlled load protocols A and B.
Tabular Data - 1.3 MB - 5 Variables, 34201 Observations - UNF:6:cE91+kTzP13/7m+7rpNrQg==
Displacement, torsion angle, force, and torque moment data of protocol A during the in situ experiment in *.csv file format.
Tabular Data - 1.3 MB - 5 Variables, 34200 Observations - UNF:6:aKqGBK7T1Pwduh5Z+h5Wyw==
Displacement, torsion angle, force, and torque moment data of protocol B during the in situ experiment in *.csv file format.
Publication: Foams(Universität Stuttgart)
Mar 31, 2023
This dataverse includes research data based on investigations of foams.
Feb 7, 2023 - Publication: Machine learning assists in increasing the time resolution of X-ray tomography
Lee, Dongwon; Steeb, Holger, 2023, "Image enhancement code: time-resolved tomograms of EICP application using 3D U-net", https://doi.org/10.18419/DARUS-2991, DaRUS, V1
This dataset contains the codes to reproduce the results of "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", cf. https://doi.org/10.18419/darus-2227. The code takes "low-dose" images as an input where the images contain many artifacts and noise as a trade-off of a fast data acq...
7Z Archive - 417.9 MB - MD5: ab58b9cb6a76de1e09c5baa790eada71
Data for training and examples for pre/post-processing
Plain Text - 155 B - MD5: 770701e71b665603a9e61292c7824135
An example of training log file (all the adopted parameters used during training are saved in this log)
Python Source Code - 5.7 KB - MD5: ee7d79e5e2f70aabaae7bae129627301
Post-processing code to create enhanced images
Python Source Code - 2.4 KB - MD5: 9b63a89131ad52136b92531a6b7f5e71
Pre-processing code to change the images into available shape and format
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