Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Multilevel thresholding image segmentation is an important technique, which has attracted
much attention in recent years. The conventional exhaustive search method for image …

Traditional hyperspectral image semantic segmentation algorithms can not fully utilize the
spatial information or realize efficient segmentation with less sample data. In order to solve …

To optimize the maintenance of complex systems of metro trains, the variation trends of the
failure rates of components under imperfect maintenance are identified, and the …

In remote sensing imagery, segmentation techniques fail to encounter multiple regions of
interest due to challenges such as dense features, low illumination, uncertainties, and noise …

Remote sensing multi-band hyperspectral image classification is a challenging task and is of
current interest too. Proper extraction of spectral features of the data results in higher …

In order to solve the problem of automatically completing safety detection for construction
sites and give an alert based on high-speed image streams, this paper proposes a violation …

It is difficult to solve the problem of underdetermined blind source separation (UBSS) since
the mixing system is not invertible. Therefore, estimating the underdetermined mixing matrix …

The pathway information of a given microarray gene expression data can be collected from
the available public databases. Inferring the activity of a pathway is a crucial task in …

A significant amount of picture segmentation is necessary for the accurate identification and
diagnosis of the object of interest present in the image. Low image contrast and poorly …