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An industry funded research consortium at King Abdullah University of Science and Technology (KAUST), which focuses on the application of machine (deep) learning numerical algorithms to wave-equation-based processing, imaging, and inversion.
The application of these techniques extends to objectives ranging from global Earth discovery, to natural resources exploration, to subsurface monitoring as well as nondestructive testing and medical imaging.
Company Details
- Employees
- 2
- Address
- This
- Industry
- Research Services
- Website
- https://deepwave.kaust.edu.sa/
- Keywords
- An industry funded research consortium. Machine learning for wave-equation-based processing.
- Competitors
- Shearwater GeoServices, KAUST Challenge, Jackson School of Geosciences at The University of Texas at Austin, SEG, KAUST Earth Science and Engineering Program (ErSE), Mondaic Ltd., Al Khozama Hotel & Residences KAUST, KAUST European Alumni Chapter, SDAIA-KAUST AI, KAUST SEG Student Chapter.
Deepwave@kaust Questions
DeepWave@KAUST's website is https://deepwave.kaust.edu.sa/
DeepWave@KAUST's LinkedIn profile is https://www.linkedin.com/company/deepwave-kaust
DeepWave@KAUST has
2 employees.
View email and phone details for 2
employees at DeepWave@KAUST.
DeepWave@KAUST's industry is
Research Services
DeepWave@KAUST's top competitors are
Shearwater Geoservices,
Kaust Challenge,
Jackson School Of Geosciences At The University Of Texas At Austin,
Seg,
Kaust Earth Science And Engineering Program (Erse),
Mondaic Ltd.,
Al Khozama Hotel & Residences Kaust,
Kaust European Alumni Chapter,
Sdaia-Kaust Ai,
Kaust Seg Student Chapter.
DeepWave@KAUST's categories are Research Services
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