Results 141 to 150 of about 13,903 (231)
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
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner +2 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 Only one quarter of the global ocean floor has been directly surveyed; the remaining three quarters are inferred from satellite altimeter‐derived gravity data using techniques developed in the 1990s. These classical methods correlate gravity anomalies with known depths and extrapolate bathymetry in unsounded regions.
David Sandwell +13 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
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
iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley +1 more source
Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique. [PDF]
Sawant CP +6 more
europepmc +1 more source
Optimal deep learning activity recognition pipeline using animal bio‐logging data
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley +1 more source

