Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

This project implements a hierarchical deep reinforcement learning framework where: 7 Specialist Agents each manage a specific trading strategy (Statistical Arbitrage, Market Making, Factor Tracking, ...

The global energy of Diesel collides with Seoul’s underground pulse in the new Diesel x Thug Club capsule, an eight-piece lineup designed by Glenn Martens and Jiyool Kwon. Known for reworking denim ...

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Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...