Results 161 to 170 of about 14,713 (239)
The Evaluation and Prediction of Flame Retardancy of Asphalt Mixture Based on PCA-RBF Neural Network Model. [PDF]
Yin P, Wang H, Tan Y.
europepmc +1 more source
Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. [PDF]
Shang S +5 more
europepmc +1 more source
Abstract Physics‐informed neural networks (PINNs) provide a promising framework for river hydrodynamic simulation and parameter inversion under sparse observations. However, spatial heterogeneity in channel geometry and roughness causes strong variations in flood‐wave propagation and parameter sensitivity, challenging local conservation and joint state‐
Ziyan Lu +6 more
wiley +1 more source
Research on the characteristics of electro-hydraulic position servo system of RBF neural network under fuzzy rules. [PDF]
Li J, Li W, Du X.
europepmc +1 more source
QSPR model for Caco-2 cell permeability prediction using a combination of HQPSO and dual-RBF neural network. [PDF]
Wang Y, Chen X.
europepmc +1 more source
Single‐cell and multi‐omics analyses identified THBS1+ macrophages as a terminally differentiated, hypoxia‐adaptive population driving coronary atherosclerosis through THBS1‐CD36 signaling with lymphatic endothelial cells. Targeting CD36 with SMS121 and leveraging a THBS1+ macrophage gene signature enabled therapeutic prediction and accurate risk ...
Jianpeng Li +4 more
wiley +1 more source
A Self‐Supervised Framework for Space Object Behaviour Characterisation
ABSTRACT Foundation Models, which leverage large neural networks pre‐trained on unlabelled data before fine‐tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis (SOBA) has not yet
Ian Groves +6 more
wiley +1 more source
ABSTRACT The vitrification of high‐level waste (HLW) into borosilicate glass is a cornerstone of nuclear waste management, yet one of the key challenges in glass formulation for high‐aluminum‐containing waste streams is the precipitation of nepheline during the canister cooling stage.
Mayra Diaz‐Acevedo +5 more
wiley +1 more source

