The potential of self-supervised networks for random noise suppression in seismic data
Volume 2, Issue , December 2021, Pages 47-59
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Wavefield solutions from machine learned functions constrained by the Helmholtz equation
Volume 2, Issue , December 2021, Pages 11-19
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Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale
Volume 1, Issue , December 2020, Pages 1-10
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MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Volume 3, Issue , December 2022, Pages 101-114
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Exact Conditioning of Regression Random Forest for Spatial Prediction
Volume 1, Issue , December 2020, Pages 11-23
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Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach
Volume 3, Issue , December 2022, Pages 28-45
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Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm
Volume 2, Issue , December 2021, Pages 76-81
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Flood susceptibility assessment using artificial neural networks in Indonesia
Volume 2, Issue , December 2021, Pages 215-222
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Machine learning-based prediction of trace element concentrations using data from the Karoo large igneous province and its application in prospectivity mapping
Volume 2, Issue , December 2021, Pages 60-75
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Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs
Volume 2, Issue , December 2021, Pages 148-164
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Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador
Volume 2, Issue , December 2021, Pages 128-147
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Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields
Volume 4, Issue , December 2023, Pages 9-21
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Machine learning in petrophysics: Advantages and limitations
Volume 3, Issue , December 2022, Pages 157-161
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A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil
Volume 3, Issue , December 2022, Pages 8-13
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Seismic labeled data expansion using variational autoencoders
Volume 1, Issue , December 2020, Pages 24-30
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Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of Re-analysis campaigns
Volume 3, Issue , December 2022, Pages 86-100
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Automatic fault instance segmentation based on mask propagation neural network
Volume 1, Issue , December 2020, Pages 31-35
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ShakeDaDO: A data collection combining earthquake building damage and ShakeMap parameters for Italy
Volume 1, Issue , December 2020, Pages 36-51
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Irregularly sampled seismic data interpolation via wavelet-based convolutional block attention deep learning
Volume 3, Issue , December 2022, Pages 192-202
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Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager
Volume 3, Issue , December 2022, Pages 71-85
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Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region
Volume 3, Issue , December 2022, Pages 14-27
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Deep convolutional autoencoders as generic feature extractors in seismological applications
Volume 2, Issue , December 2021, Pages 96-106
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Classification random forest with exact conditioning for spatial prediction of categorical variables
Volume 2, Issue , December 2021, Pages 82-95
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Toward earthquake early warning: A convolutional neural network for repaid earthquake magnitude estimation
Volume 4, Issue , December 2023, Pages 39-46
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Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India
Volume 2, Issue , December 2021, Pages 179-191
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