Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution
ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu +8 more
wiley +1 more source
Air Pollution Detection and Sports Club Environmental Responsibility Based on the RBF Neural Network. [PDF]
Guo Z, Lin H, Qiao Z.
europepmc +1 more source
AN IMPLEMENTATION OF FLEXIBLE RBF NEURAL NETWORKS
Tese de mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências ...
openaire +2 more sources
Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]
Song Q +6 more
europepmc +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
Flexible manipulators have been widely used in industrial production. However, due to the poor rigidity of the flexible manipulator, it is easy to generate vibration. This will reduce the working accuracy and service life of the flexible manipulator.
Zhiyong Wei +4 more
doaj +1 more source
Water resource carrying capacity and obstacle factors in the Yellow River basin based on the RBF neural network model. [PDF]
Sun X, Zhou Z, Wang Y.
europepmc +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs.
Ying Li, Wei Gao, Shihui Ying
doaj +1 more source
Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network. [PDF]
Fang Y +7 more
europepmc +1 more source

