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IEEE

A Novel MoCo-Based Self-Supervised Learning Framework for Solar Panel Defect Detection

Abstract: Defect detection in solar panels remains constrained by the limitations of manual labeling and the inefficiency of traditional inspection methods, which often struggle with large, ...
GitHub

A self-supervised clustering method combining adversarial autoencoders with cross-attention-based graph convolutional networks (GCN) for cell type identification in scRNA-seq ...

The code runs under Python 3.9.20 and Pytorch 2.3.1+cu121. Create a PyTorch environment and install required packages, such as "numpy", "pandas", "scikit-learn ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
GitHub

clustering-python

An end-to-end machine learning project to predict Autism Spectrum Disorder (ASD) risk in adults. Features a full ETL pipeline, comparative analysis of unsupervised & supervised models, and a final ...
eLife

Single-cell transcriptome sequencing for opening the blood-brain barrier through specific mode electroacupuncture stimulation

This paper reports a valuable discovery that specific-mode electroacupuncture (EA) transiently opens the blood-brain barrier (BBB) in rats. The evidence is solid but lacks functional validation of BBB ...
IEEE

Dual-Structural Bipartite Graph Learning for Multiview Clustering

Abstract: Bipartite graph (BiG) has been proven to be efficient in handling massive multiview data for clustering. However, how to regulate the structural information of view-specific anchors and view ...