Results 161 to 170 of about 91,586,058 (209)

PhyTGNet: A Physics‐Prior‐Guided Interpretable Forecasting Method for Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract The sudden and localized nature of thunderstorm gusts makes pure data‐driven models struggle to maintain physical plausibility and interpretability, leading to nonphysical false alarms and spatial displacement in complex terrain. To address this, we propose PhyTGNet, a deep learning framework with embedded physics‐inspired guidance that ...
Zhaoyu Yan   +5 more
wiley   +1 more source

Calibration Method of Empirical Atmospheric Density Based on Physics‐Informed Neural Networks

open access: yesSpace Weather, Volume 24, Issue 10, October 2026.
Abstract Thermospheric density is a critical parameter for low Earth orbit satellite applications, including orbit prediction, collision risk assessment, and atmospheric drag analysis. However, empirical atmospheric density models exhibit significant uncertainties under disturbed space weather conditions, while purely data‐driven approaches may not ...
Weirong Huang   +6 more
wiley   +1 more source

A Generalized Unit Hydrograph Theory for Dynamic River Networks

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract The instantaneous unit hydrograph (IUH) synthetically describes how effective rainfall is transformed into discharge at the catchment outlet. According to classical geomorphological theories, the IUH is regarded as a time‐invariant probability density function of watershed response times, an interpretation that implicitly postulates a fixed ...
Gianluca Botter   +4 more
wiley   +1 more source

From PINNs to PIKANs: recent advances in physics-informed machine learning. [PDF]

open access: yesMach Learn Comput Sci Eng
Toscano JD   +6 more
europepmc   +1 more source

Towards a Brain–Computer Interface (BCI) for Improving Phonological Processing in Developmental Dyslexia: An Exploratory Study

open access: yesEuropean Journal of Neuroscience, Volume 64, Issue 7, October 2026.
An EEG‐based BCI was developed to train self‐regulation of the theta/delta power ratio during natural speech listening in adults with developmental dyslexia. Participants controlled a spaceship through their neural activity across eight daily training sessions.
Xuanci Zheng   +3 more
wiley   +1 more source

Random Carbon Tax Policy and Investment Into Emission Abatement Technologies

open access: yesMathematical Finance, Volume 36, Issue 4, Page 804-825, October 2026.
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri   +2 more
wiley   +1 more source

Virtual cell: Current perspectives and future prospects. [PDF]

open access: yesJ Int Med Res
Li J   +5 more
europepmc   +1 more source

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