This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Abstract: Feature selection is a critical step in medical classification, where large and complex datasets can obscure clinically relevant patterns. In this work, we employ a wrapper-based feature ...
Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...
Abstract: Managing imbalanced datasets remains a key problem in machine learning, especially in areas such as healthcare, fraud detection, and industrial applications. Traditional methods such as ...
Cybersecurity researchers have disclosed multiple critical security vulnerabilities in Chaos Mesh that, if successfully exploited, could lead to cluster takeover in Kubernetes environments. "Attackers ...
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