Constarium
← Search

Data · dataset · 2025

Trained Vanilla Models on Synthetic Permeability Fields, 101 Data Points

Listed in DaRUS

Models are trained with [git: DDUNet] on 101 data points (dp).

Description

Both, vanilla UNet and DDU-Net, can be applied directly end-to-end. For inference follow the guidelines of Heat Plume Prediction to prepare raw data, then apply the models as described in [git: DDUNet].

Based on raw data from doi.org/10.18419/darus-5064.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-50819 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0