Medical image segmentation is an essential task in clinical diagnosis and case analysis.
Most of the existing methods are based on U-shaped convolutional neural networks (CNNs), …

Image emotion is not exclusive, which makes emotion distribution learning more meaningful
than emotion classification for visual emotion recognition. Consider the emotion correlations …

Due to alkaline earth metal oxide such as calcium and magnesium being existed in the fly
ash, its slurry is alkaline. It’s easy to pollute the underground water when the slurry was filled …

Instead of previous SVM algorithms that utilize a kernel to evaluate the dot products of data
points in a feature space, here points are explicitly mapped into a feature space by a Single …

… According to the existing literature, Li qiuge et al. [10] investigated the crack controlling of
K465 superalloy in the laser additive connection process, by preheating the substrate and …

Proximal SVM (PSVM), which is a variation of standard SVM, leads to an extremely faster
and simpler algorithm for generating a linear or nonlinear classifier than classical SVM. An …

To explore the influence of the working face excavation rate on the rock deformation
mechanism and seepage characteristics, deformation and seepage tests of sandstone under …

Cardiovascular disease has a high death rate in the world. In recent years, automatic medical
image segmentation methods based on artificial intelligence have been rapidly developed …

Coal-fired power generation is an important guarantee for the energy security in China, but a
large amount of CO 2 is emitted from flue gas. At the same time, a large amount of fly ash is …

Background Glycolysis plays an essential role in the growth and metastasis of solid cancer
and has received increasing attention in recent years. However, the complex regulatory …