Ara
Toplam kayıt 3, listelenen: 1-3
SEM-Net: Deep features selections with Binary Particle Swarm Optimization Method for classification of scanning electron microscope images
(Elsevier, 2021)
Materials Science is increasingly handling artificial intelligence methods to address the complexity in the field of everyday life necessities. Researchers in both academia and industry are interested in imaging techniques ...
A novel ship classification network with cascade deep features for line-of-sight sea data
(2021)
In ship classifcation, selecting distinctive features and designing a proper classifer are two key points of the process. As
a lack of most of the studies, these two essential points are considered separately. In this ...
A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
(Springer, 2021)
The automatic detection of software vulnerabilities is considered a complex and common research problem. It is possible to detect several security vulnerabilities using static analysis (SA) tools, but comparatively high ...