This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between cells.

New issue New issue Open Open The PostCommit Python Xlang Gcp Direct job is flaky #35285 Labels P1bugflaky_testworkflow_id: 69536682 ...

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...

New issue New issue Closed #33781 Closed The PostCommit Python Examples Direct job is flaky #33764 #33781 Assignees Labels P1bugflaky_testworkflow_id: 68576194 Milestone 2.63.0 Release ...

Stylized image of a CLASSIX clustering result overlaid on top of a coronavirus illustration. Credit: University of Manchester, CDC / Alissa Eckert, MSMI; Dan Higgins, MAMS An AI framework aids in ...

Abstract: K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be ...

ABSTRACT: A method for cellular manufacturing design in Group Technology is presented in this paper. The proposed method computes the dissimilarities between parts and organizes the production system ...