PyTorch-powered data assimilation slashes air quality model startup times
A PyTorch-based 3DVar data assimilation system for WRF-Chem achieves a 26.2-fold speedup on GPU hardware while matching the accuracy of ...
A PyTorch-based 3DVar data assimilation system for WRF-Chem achieves a 26.2-fold speedup on GPU hardware while matching the accuracy of ...
A hybrid framework combines a local neural-network surrogate with exact quasi-polynomial spectral validation to speed up stability optimization for delayed ...
A new study shows that a frozen CLIP vision-language model with lightweight adapters can improve human activity recognition in low-light ...
A new framework uses ant colony optimization to configure a modified DeepLabV3+ network with a residual feature fusion module, reporting ...
A preprint under review in Wind Energy Science shows that a compact set of wind speed and turbulence descriptors is ...
An adaptive voxel localization method reduced objective-function evaluations by about five orders of magnitude while retaining roughly 5-meter accuracy in ...
A six-parameter steady-state fuel-cell model fitted with Enhanced Artificial Rabbits Optimization produced very low voltage errors on both a 5-watt ...
A two-layer swarm intelligence framework from Xidian University and CETC researchers coordinates heterogeneous unmanned swarms by coupling task allocation with ...
A new hybrid reliability method called AK-FOCM combines active learning Kriging with first order control variates to estimate rare failure ...
Researchers at the University of Edinburgh and EPCC have developed an algorithm that lets ordinary computers run quantum simulations once ...
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© 2025 Scienmag - Science Magazine