The electronic structure, elastic, optical and thermodynamic properties of cubic perovskite
NaBaF 3 under high pressure were investigated using the ab initio calculations. The …

Deep neural networks of deep learning algorithms can be applied into regressions and
classifications. While the regression performances and classification performances of the …

Image segmentation is one of the most critical tasks in Magnetic Resonance (MR) images
analysis. Since the performance of most current image segmentation methods is suffered by …

Purpose Although classical techniques for image segmentation may work well for some
images, they may perform poorly or not work at all for others. It often depends on the …

The ecotone zone, located between the Cerrado and Amazon biomes, has been under
intensive anthropogenic pressures due to the expansion of commodity agriculture and …

Lévy flight Shuffle Frog Leaping Algorithm (LSFLA) is a SFLA variant and enhances the
performance of SFLA largely, however, it still has some defects, such as poor convergence …

The automatic delineation and segmentation of the brain tissues from Magnetic Resonance
Images (MRIs) is a great challenge in the medical context. The difficulty of this task arises out …

Cerrado is the second largest biome in Brazil, and it is responsible for providing us several
ecosystem services, including the functions of storing Carbon and biodiversity conservation …

The use of artificial intelligence to generate information of the savanna's energy capacity
may support sustainable management of those areas. We assessed the efficacy of artificial …

Résumé Dans le domaine de l'imagerie médicale, la segmentation des images est une
tâche cruciale, qui permet d'isoler dans l'image les objets significatifs sur lesquels doit porter …