Earth sciences - Data processing.

Data science for the geosciences / 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)

Emerging AI applications in earth sciences = challenges, impact and analysis / by: (Electronic resources)

Artificial intelligence proxy models = applications in geosciences / by: (Electronic resources)

Solving problems in environmental engineering and geosciences with artificial neural networks by: (Electronic resources)

Assessment of the usefulness and availability of NASA's earth and space science mission data by: (Electronic resources)

Advances in geocomputing by: (Language materials, printed)

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

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

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

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

Data assimilation = mathematical concepts and instructive examples / 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)

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)

Python recipes for Earth sciences by: (Electronic resources)

Novel AI applications for advancing earth sciences by: (Electronic resources)

Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road by: (Electronic resources)

MATLAB® recipes for earth sciences by: (Electronic resources)

R applications in earth sciences = from soil data to climate time series analysis and modeling / by: (Electronic resources)