Earth sciences - Data processing.

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

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

Data assimilation = making sense of observations / by: (Language materials, printed)

MATLAB and design recipes for earth sciences : = how to collect, process and present geoscientific information / by: (Language materials, printed)

Geospatial technology for earth observation by: (Electronic resources)

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

Image analysis in Earth sciences = microstructures and textures of Earth materials / by: (Electronic resources)

Computational intelligence techniques in earth and environmental sciences by: (Electronic resources)

Introduction to nodern Fortran for the earth system sciences by: (Electronic resources)

MATLAB recipes for earth sciences by: (Electronic resources)

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)

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

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

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)