With antimicrobial resistance causing over 5 million deaths annually, rapid outbreak detection is critical. A German lab ...
Abstract: As wafer maps become increasingly complex and high-dimensional, conventional clustering methods often fail to uncover subtle but meaningful defect patterns critical for yield enhancement and ...
scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
Abstract: Computational intelligence is increasingly applied to complex decision-making challenges, leveraging its data analysis prowess. Hybrid human–artificial intelligence models enhance the grasp ...