Results 151 to 160 of about 13,592 (226)

YOLO‐Based Detection and Localization of Rocket Induced Traveling Ionospheric Disturbances

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract During rocket launches, atmospheric disturbances significantly impact the ionosphere, generating Traveling Ionospheric Disturbances (TIDs). These disturbances can affect radio communications and navigation systems and may pose risks to high‐speed aerospace vehicles.
Zhou Chen   +6 more
wiley   +1 more source

One to Three‐Day Lead Streamflow Forecast Using Multi‐Head Attention With Long Short‐Term Memory in Reservoir Regulated Catchment

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate, timely, and actionable flood forecasting has potential for reducing flood risk but remains challenging due to uncertainties in meteorological forecasts, poor hydrological observations, and increasing forecast errors with lead time. While Long Short‐Term Memory (LSTM) models have surpassed conventional hydrological forecasting models,
Hiren Solanki   +3 more
wiley   +1 more source

Observations‐Driven Spatial‐Attention LSTM for Multi‐Depth Soil Moisture Prediction and Dynamic Soil Hydrological Process Connectivity Quantification

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Soil moisture dynamics in vertical profiles result from multiple interacting processes, generating complex temporal behavior and intricate connectivity patterns. However, accurately simulating multi‐depth soil moisture while diagnosing time‐varying vertical connectivity remains challenging.
Weiming Kang   +4 more
wiley   +1 more source

Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks. [PDF]

open access: yesSci Rep, 2021
Shi K   +9 more
europepmc   +1 more source

Accelerating the Estimation of Effective Rock Properties Under Partially Saturated Conditions Through Saturation‐Conditioned U‐Net‐Based Initialization

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Effective properties describe transport processes in porous media, controlled by their geometric characteristics (i.e., pore‐size distribution, connectivity, and porosity) and phase configuration. Estimating effective properties of partially saturated porous media requires performing computationally expensive pore‐scale simulations.
R. K. Santoso, Y. Yang, J. Poonoosamy
wiley   +1 more source

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