Abstract: 3-D inversion is the most challenging task for time-domain electromagnetic (TEM) studies due to its huge number of computations, especially when it comes to the real-data cases. The recent ...
With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, nuclei, ...
The top 25 rankings are important for understanding just who is killing it in college basketball, but we can go deeper — all the way to the bubble and beyond. The NCAA Evaluation Tool, or NET, is a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results