Transfer learning-based hybrid deep learning method for gas-bearing distribution prediction with insufficient training samples and uncertainty analysis
J Yang, N Lin, K Zhang, C Fu, C Zhang - Energy, 2024 - Elsevier
The availability of sample data, required for seismicity-based reservoir prediction using deep
learning (DL), is often limited by well availability. To alleviate this problem, this study …
learning (DL), is often limited by well availability. To alleviate this problem, this study …
A Deep Semi-Supervised Learning Approach for Seismic Reflectivity Inversion
S Rahman, AH Elsheikh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In seismic inversion, supervised learning is highly effective when abundant paired data is
available, yet such conditions are often not met in this domain due to the scarcity of well …
available, yet such conditions are often not met in this domain due to the scarcity of well …
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices
The choice of the sensing matrix is crucial in compressed sensing. Random Gaussian
sensing matrices satisfy the restricted isometry property, which is crucial for solving the …
sensing matrices satisfy the restricted isometry property, which is crucial for solving the …
Tight-frame-like Sparse Recovery Using Non-tight Sensing Matrices
The choice of the sensing matrix is crucial in compressed sensing (CS). Gaussian sensing
matrices possess the desirable restricted isometry property (RIP), which is crucial for …
matrices possess the desirable restricted isometry property (RIP), which is crucial for …
The Influence of Motivation and Work Ability on Employee Performance
IF Purwaningtyas, B Perizade, Z Zunaida… - Journal of Social …, 2024 - jsss.co.id
This research aims to determine the influence of motivation and work ability on employee
performance at PT Jasa Marga Toll Road Operator. The population in this research was 150 …
performance at PT Jasa Marga Toll Road Operator. The population in this research was 150 …