Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
Water’s odd behavior becomes even more dramatic when it is supercooled, but scientists have struggled to compare the many ...
Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Nowadays, companies care more about the skills rather than college branch. If you know coding, can solve problems, and have ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates achieving ...
This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...
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