Earth sciences - Data processing.

Modeling with digital ocean and digital coast by: (Electronic resources)

Collecting, processing and presenting geoscientific information = MATLAB and design recipes for Earth sciences / by: (Electronic resources)

Earth systems data processing and visualization using MATLAB by: (Electronic resources)

Towards interoperable research infrastructures for environmental and earth sciences = a reference model guided approach for common challenges / by: (Electronic resources)

Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience by: (Electronic resources)

Integrating data science and earth science = challenges and solutions / by: (Electronic resources)

Python recipes for earth sciences by: (Electronic resources)

Machine learning for earth sciences = using Python to solve geological problems / by: (Electronic resources)

Python recipes for earth sciences / by: (Language materials, printed)

Data science for the geosciences / by: (Language materials, printed)

Computational geosciences with Mathematica / by: (Language materials, printed)

Solving problems in environmental engineering and geosciences with artificial neural networks by: (Language materials, printed)

Assessment of the usefulness and availability of NASA's earth and space science mission data by: (Language materials, printed)

Geospatial technology for earth observation by: (Electronic resources)

Computational geosciences with Mathematica / by: (Language materials, printed)

Data assimilation = mathematical concepts and instructive examples / by: (Electronic resources)

Signal and noise in geosciences = MATLAB recipes for data acquisition in earth sciences / by: (Electronic resources)