Earth sciences - Data processing.
Overview
| Works: | 19 works in 18 publications in 18 languages | |
|---|---|---|
Titles
Artificial intelligence proxy models = applications in geosciences /
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Emerging AI applications in earth sciences = challenges, impact and analysis /
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R applications in earth sciences = from soil data to climate time series analysis and modeling /
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MATLAB and design recipes for earth sciences = how to collect, process and present geoscientific information /
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The application of neural networks in the earth system sciences = neural networks emulations for complex multidimensional mappings /
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Image analysis in Earth sciences = microstructures and textures of Earth materials /
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Computational intelligence techniques in earth and environmental sciences
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Data assimilation = mathematical concepts and instructive examples /
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Collecting, processing and presenting geoscientific information = MATLAB and design recipes for Earth sciences /
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Machine learning for earth sciences = using Python to solve geological problems /
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Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road
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