This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...

A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Discover the best AI tools for weather forecasting that help businesses improve prediction accuracy, optimize operations, and ...

LOS ANGELES, Oct. 05, 2025 (GLOBE NEWSWIRE) -- PhiNetworks, an innovative sports IT company and creator of the best-selling Phigolf home golf system, today announced the launch of the Phigolf2 Flex ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Abstract: Production cost minimization (PCM) problem in power system faces critical challenges in achieving rapid solving. The conventional time-domain decomposition (c–TDD) approach is widely used to ...

This repository implements a Graph Neural Network (GNN) to predict patient length of stay using PyTorch Geometric. The implementation features advanced feature selection, interactive visualizations, ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...