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Found 4 papers, 1 papers with code
A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast
Finally, the effectiveness of the proposed method is verified by three wind prediction cases from a wind farm in Liaoning, China.
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing.
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
In addition, in each iteration step, the probability cubes of salt bodies and inclusions inferred from the proposed networks can be used as a regularization term within the FWI forward modelling, which may result in an improved velocity model estimation while the output of seismic migration can be utilized as an input of the 3D neural network for subsequent iterations.
Finding Theme Communities from Database Networks
Given a database network where each vertex is associated with a transaction database, we are interested in finding theme communities.
