Works matching IS 26665441 AND DT 2024 AND VI 5
Results: 25
Locally varying geostatistical machine learning for spatial prediction.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100081
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Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100088
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When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100086
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Water resource forecasting with machine learning and deep learning: A scientometric analysis.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100084
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Transfer learning for well logging formation evaluation using similarity weights.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100091
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The role of artificial intelligence and IoT in prediction of earthquakes: Review.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100075
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The 3-billion fossil question: How to automate classification of microfossils.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100080
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Robust high frequency seismic bandwidth extension with a deep neural network trained using synthetic data.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100071
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Reservoir evaluation using petrophysics informed machine learning: A case study.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100070
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Reconstruction of lithofacies using a supervised Self-Organizing Map: Application in pseudo-wells based on a synthetic geologic cross-section.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100072
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Research on the prediction method for fluvial-phase sandbody connectivity based on big data analysis--a case study of Bohai a oilfield.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100095
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Prediction of seismic-induced bending moment and lateral displacement in closed and open-ended pipe piles: A genetic programming approach.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100076
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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100094
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High-resolution seismic inversion method based on joint data-driven in the time-frequency domain.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100083
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Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100087
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Forecast future disasters using hydro-meteorological datasets in the Yamuna river basin, Western Himalaya: Using Markov Chain and LSTM approaches.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100069
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Exploring emerald global geochemical provenance through fingerprinting and machine learning methods.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100085
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EQGraphNet: Advancing single-station earthquake magnitude estimation via deep graph networks with residual connections.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100089
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Enhancing economic sustainability in mature oil fields: Insights from the clustering approach to select candidate wells for extended shut-in.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100082
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100090
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Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100093
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ASTER data processing and fusion for alteration minerals and silicification detection: Implications for cupriferous mineralization exploration in the western Anti-Atlas, Morocco.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100077
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Application of ChatGPT in soil science research and the perceptions of soil scientists in Indonesia.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100078
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A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100073
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A 3D convolutional neural network model with multiple outputs for simultaneously estimating the reactive transport parameters of sandstone from its CT images.
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- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100092
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