Artificial Intelligence in Geosciences : Impact Factor & More
eISSN: 2666-5441
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Artificial Intelligence in Geosciences Journal Specifications
Indexed in the following public directories
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DOAJ 
SJR
| Overview | |
| Publisher | KeAi Communications Co. Ltd. |
| Language | English |
| Article Processing Charges | USD 800 |
| Publication Time | 21 |
| Editorial Review Process | Anonymous peer review |
| General Details | |
| Language | English |
| Website URL | Visit website |
| Publication Details | |
| Editorial Review Detail | |
| Information for authors | |
| Author instructions | Visit website |
| Copyright Details | Visit website |
| License type | CC BY, CC BY-NC-ND |
| OA statement | Visit website |
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Recently Published Papers in Artificial Intelligence in Geosciences
Geo-foundation models and UAV data for post flooding damage assessment in Mozambique
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Downscaling of Landsat LST with HotSat-1 data and generative adversarial networks
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Optimized LightGBM-Based Prediction of Foundation Bearing Capacity on Spatially Variable Bolton Sand
- 1 Apr 2026
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An open benchmark dataset of synthetic seismic data and real swell noise for evaluating deep learning denoising models
- 1 Apr 2026
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Geo-foundation models and UAV data for post flooding damage assessment in Mozambique
- 1 Jun 2026
- Artificial Intelligence in Geosciences
SeisReconNO: Leveraging a U-Net-Enhanced Fourier neural operator for 3D seismic reconstruction
- 1 Jun 2026
- Artificial Intelligence in Geosciences
Stress release coefficient prediction of sandy-gravel soil by extra tree algorithms
- 1 Jun 2026
- Artificial Intelligence in Geosciences
Downscaling of Landsat LST with HotSat-1 data and generative adversarial networks
- 1 Jun 2026
- Artificial Intelligence in Geosciences
Optimized LightGBM-Based Prediction of Foundation Bearing Capacity on Spatially Variable Bolton Sand
- 1 Apr 2026
- Artificial Intelligence in Geosciences
An open benchmark dataset of synthetic seismic data and real swell noise for evaluating deep learning denoising models
- 1 Apr 2026
- Artificial Intelligence in Geosciences
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