ICAR Research Data Repository for Knowledge Management
Synthetic and field surface tiltmeter data for training of CGAN ML models
CSIRO RDS Repository
View Archive Info| Field | Value | |
| Title |
Synthetic and field surface tiltmeter data for training of CGAN ML models
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| Creator |
Saeed Salimzadeh
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| Subject |
Computational modelling and simulation in earth sciences
Other earth sciences not elsewhere classified |
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| Description |
Simulation and additional outputs of surface deformation tilt data from a surrogate model using OpenCSMP, and other data and fielddata for training of CGAN subsurface ML Models. Additionally includes a trained model (W_state_824999.pth), normalisation and model parameters.
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| Publisher |
CSIRO
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| Contributor |
Dane Kasperczyk
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| Date |
2024-01-25
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| Type |
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| Format |
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| Identifier |
csiro:61488
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| Language |
—
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| Coverage |
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