Results 151 to 160 of about 65,141 (244)
Abstract Hurricanes drive diverse estuarine phytoplankton responses and can trigger cascading ecological and physicochemical impacts. Capturing these short‐term dynamics requires high spatiotemporal resolution. Here, we applied a globally‐applicable coastal ocean color algorithm, Variational Autoencoder (VAE), to Sentinel‐2 MSI imagery for chlorophyll ...
J. Li +9 more
wiley +1 more source
Polyester Microfiber Dynamics in an Estuarine Semi‐Enclosed Basin
Abstract Polyester microfibers are one of the most abundant microplastics in marine ecosystems, yet their observed near‐surface concentrations are inconsistent with expectations based on their density. To study the mechanisms governing polyester microfiber transport and fate, we developed a Lagrangian particle‐tracking module using Parcels to simulate ...
J. Valentí‐Muelas +2 more
wiley +1 more source
BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC
Dao DN, Miao Y.
europepmc +1 more source
Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective. [PDF]
Kadelka C.
europepmc +1 more source
Abstract Specific yield (SY) is a key parameter in estimating groundwater storage change. Accurately predicting SY in unconfined aquifers remains challenging, as SY varies with groundwater‐level fluctuations and unsaturated‐zone moisture fluxes. This challenge is particularly evident in the North China Plain (NCP), which has experienced substantial ...
Zhenyue Han +4 more
wiley +1 more source
A deep reinforcement learning integrated aerial RIS system for enhanced combat intelligence. [PDF]
Kamal MM +8 more
europepmc +1 more source
Filling Streamflow Data Gaps in Indian Catchments Using Machine Learning and K‐Means Clustering
Abstract Reliable and continuous water level and streamflow records are essential for accurate hydrological modeling and informed water resource management, yet observations often suffer from substantial data gaps. Existing data gap‐filling methods use observations from upstream or nearby stations with local climate records.
Hiren Solanki, Vimal Mishra
wiley +1 more source
LSTCNet: timely prediction of influenza in China using Baidu index and LSTM-TCN hybrid network. [PDF]
He W, Li X, He H, Li Y, Sun N, Hon C.
europepmc +1 more source
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley +1 more source
MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints. [PDF]
Deng Y, Xu Y, Shi Y.
europepmc +1 more source

