|
|
|
|
|
Markos D. Tranos, Petros G. Neofotistos, Sotirios A. Kokkalas and Ghislain L. Tourigny
One of the most critical stages in fault-slip data stress analysis is separating the fault data into homogeneous subsets and selecting a suitable analysis method for each subset. A basic assumption in stress tensor computations is that fault activations ...
ver más
|
|
|
|
|
|
|
|
|
Eva Pietroni and Daniele Ferdani
Today, the practice of making digital replicas of artworks and restoring and recontextualizing them within artificial simulations is widespread in the virtual heritage domain. Virtual reconstructions have achieved results of great realistic and aesthetic...
ver más
|
|
|
|
|
|
|
|
|
Song-Hee Kang, Youngjin Choi and Jae Young Choi
In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The prop...
ver más
|
|
|
|
|
|
|
|
|
Khaja Moiduddin, Syed Hammad Mian, Usama Umer and Hisham Alkhalefah
A custom made implant is critical in cranioplasty to cushion and restore intracranial anatomy, as well as to recover the appearance and attain cognitive stability in the patient. The utilization of customized titanium alloy implants using three-dimension...
ver más
|
|
|
|
|
|
|
|
|
Yunshan Sun, Liyi Zhang, Yanqin Li and Juan Meng
Computed tomography (CT) image reconstruction and restoration are very important in medical image processing, and are associated together to be an inverse problem. Image iterative reconstruction is a key tool to increase the applicability of CT imaging a...
ver más
|
|
|
|