As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Post-2020, highly pathogenic avian influenza H5 circulation is characterised by spatially expanded ecological suitability, changes in key environmental predictors, and a wider range of avian species ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...
Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
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ADCP Rentals Support Coastal and Riverine Flow Analysis for Environmental and Engineering Projects
Reliable flow data forms the foundation of every meaningful water resource study”— Joel Chaky BATON ROUGE, LA, UNITED ...
By D. E. Ehigie AUSTIN, TX, UNITED STATES, January 15, 2026 /EINPresswire.com/ -- Environmental compliance has long ...
Abstract: Currently, deep learning-based speech enhancement methods generally focus on target speech extraction while neglecting modeling the other sound sources in the mixture. These methods still ...
Abstract: A substantial component of a pedestrian safety assessment is classifying and ranking pedestrian collision regions. This research focuses on two pedestrian safety levels that initially ...
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