Human opinion cannot be restricted to yes or no as depicted by conventional fuzzy set (FS)
and intuitionistic fuzzy set (IFS) but it can be yes, abstain, no and refusal as explained by …

Semantic segmentation is a fundamental research in optical remote sensing image
processing. Because of the complex maritime environment, the sea-land segmentation is a …

The existing concepts of picture fuzzy sets (PFS), spherical fuzzy sets (SFSs), T-spherical
fuzzy sets (T-SFSs) and neutrosophic sets (NSs) have numerous applications in decision …

Graph-based feature extraction is an efficient technique for data dimensionality reduction,
and it has gained intensive attention in various fields such as image processing, pattern …

Modeling uncertainties with spherical linear Diophantine fuzzy sets (SLDFSs) is a robust
approach towards engineering, information management, medicine, multi-criteria decision …

For both traditional classification and current popular deep learning methods, the limited
sample classification problem is very challenging, and the lack of samples is an important …

The purpose of this study was to investigate the effectiveness of problem-based and lecture-
based learning environments on students' achievement in electronic works. The design was …

Convolutional neural networks (CNN) have achieved excellent performance for the
hyperspectral image (HSI) classification problem due to better extracting spectral and spatial …

Land cover analysis has received significant attention in remote sensing-related fields. To
take advantage of multimodal data, hyperspectral images (HSI) and light detection and …

Protecting the personal patient's information in distributed health infrastructures seems to be
a crucial task. As a solution of this issue, image watermarking is widely used to secure and …