Results 141 to 150 of about 14,713 (239)
Abrasivity behavior analysis and fuzzy stochastic prediction of weakly cemented sandstones using an improved RBF neural network for quantifying uncertainties. [PDF]
Yao Y, Lin J, Li X, Li Y.
europepmc +1 more source
Heat Transfer Enhancement in the Microscale: Optimization of Fluid Flow
Microscale heat transfer deviates from conventional behavior due to scale effects and fluid properties. This review examines single‐phase convection and advanced working fluids, highlighting key mechanisms such as rarefaction, surface effects, and phase interactions, to guide optimized design of high‐performance microchannel heat exchangers.
Md Atiqur Rahman +6 more
wiley +1 more source
Ultra-precision control of dual-axis scanning mechanism based on PSO-RBF neural network. [PDF]
Fan J, Xu B, Zhang D, Cui J.
europepmc +1 more source
An uncertainty‐aware digital twin framework is developed to enable dynamic cost prediction and decision optimization for transmission engineering projects. The framework integrates multi‐source project data, including GIS spatial information, BIM engineering models, construction progress, resource utilization, market price fluctuations, and risk event ...
Jiang Fei +5 more
wiley +1 more source
RBF Neural Network-Aided Robust Adaptive GNSS/INS Integrated Navigation Algorithm in Urban Environments. [PDF]
Wang J +5 more
europepmc +1 more source
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source
Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids. [PDF]
Chiluka V +6 more
europepmc +1 more source
An explainable machine‐learning framework predicts complete stress–strain behavior and key mechanical properties of FFF‐printed ULTEM 9085 from four printing parameters. Extra Trees delivered the most accurate and stable predictions, while SHAP and LIME clarified how each parameter influences material performance.
Md Asif Hasan +7 more
wiley +1 more source
Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc +1 more source

