Results 191 to 200 of about 59,820 (274)
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 Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan +7 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
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning
Abstract Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions. Adaptive planning addresses this by incrementally expanding infrastructure only as needed, reducing unnecessary investments.
Mofan Zhang +4 more
wiley +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source

