Earth sciences - Data processing.
Overview
| Works: | 35 works in 23 publications in 23 languages | |
|---|---|---|
Titles
Solving problems in environmental engineering and geosciences with artificial neural networks
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(Language materials, printed)
Towards interoperable research infrastructures for environmental and earth sciences = a reference model guided approach for common challenges /
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(Electronic resources)
Signal and noise in geosciences = MATLAB recipes for data acquisition in earth sciences /
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(Electronic resources)
Machine learning for earth sciences = using Python to solve geological problems /
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(Electronic resources)
R applications in earth sciences = from soil data to climate time series analysis and modeling /
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(Electronic resources)
Emerging AI applications in earth sciences = challenges, impact and analysis /
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(Electronic resources)
Computational intelligence techniques in earth and environmental sciences
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(Electronic resources)
Collecting, processing and presenting geoscientific information = MATLAB and design recipes for Earth sciences /
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(Electronic resources)
Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience
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(Electronic resources)
Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road
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(Electronic resources)
MATLAB and design recipes for earth sciences : = how to collect, process and present geoscientific information /
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(Language materials, printed)
Solving problems in environmental engineering and geosciences with artificial neural networks
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(Electronic resources)
Assessment of the usefulness and availability of NASA's earth and space science mission data
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(Electronic resources)
Image analysis in Earth sciences = microstructures and textures of Earth materials /
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(Electronic resources)
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