In harbour areas, the irrational layout and high density of mariculture cages can lead to a dramatic deterioration culture’s ecology. Therefore, it is important analyze regulate distribution using intelligent analysis based on deep learning. We propose remote sensing image segmentation method Swin Transformer ensemble learning strategy. Firstly, we collect multiple images annotate them, while d...

A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid flows is presented in this research work. The main feature that filter update, which relies determination gain, performed exploiting algorithmic features numerical solver employed as a model. More precisely, multilevel resolution associated with multigrid iterative approach time advancement used to generat...

The visual system can only accurately represent a handful of objects at once. How do we cope with this severe capacity limitation? One possibility is to use selective attention to process only the most relevant incoming information. A complementary strategy is to represent sets of objects as a group or ensemble (e.g. represent the average size of items). Recent studies have established that the...

This paper presents a novel framework for the unsupervised alignment of an ensemble of temporal sequences. This approach draws inspiration from the axiom that an ensemble of temporal signals stemming from the same source/class should have lower rank when “aligned” rather than “misaligned”. Our approach shares similarities with recent state of the art methods for unsupervised images ensemble ali...