Results 101 to 110 of about 14,713 (239)

Regression Trend Prediction of Rolling Bearing Performance based on Integrated Soft Competition ART

Jixie chuandong, 2018
In order to improve the accuracy and stability of rolling bearing performance prediction,a prediction method combining soft predictive ART-RBF integrated forecasting model and confidence CV value is proposed.
Zhao Qiankun, Wan Xiaojin, Xu Zengbing, Wang Kai, Li Qinglei   +4 more
doaj  

A photosynthetic rate prediction model using improved RBF neural network. [PDF]

Sci Rep, 2022
Pu L, Li Y, Gao P, Zhang H, Hu J.
europepmc   +1 more source

The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality

Computer Graphics Forum, EarlyView.
Abstract Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one‐shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs.
Roxana Bujack, Li‐Ta Lo, Ethan Stam, Ayan Biswas, David Rogers   +4 more
wiley   +1 more source

Research on nonlinear calibration of mine catalytic-combustion-based combustible-gas sensor based on RBF neural network. [PDF]

Heliyon, 2023
Bowen W.
europepmc   +1 more source

Compactly supported detail field for high quality neural implicit surfaces

Computer Graphics Forum, EarlyView.
Abstract Neural implicit surfaces are a powerful tool for encoding a surface as the zero level set of a neural function. Trained using gradient‐descent based optimizers, these methods however suffer from a low‐frequency bias that prevents them to fit fine details of the surface.
Guillaume Coiffier, Justine Basselin
wiley   +1 more source

Retracted: Research on the Formation Mechanism of MgO and Al₂O₃ on Composite Calcium Ferrite Based on DA-RBF Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

International Endodontic Journal, EarlyView.
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas, Ingrid Luiza Mendonça Cunha, Thalita de Paris Matos, Flares Baratto‐Filho, Bianca Marques de Mattos de Araujo, Manoel Damião Sousa‐Neto, Leandro de Moura Martins, Fernando José Herkrath, Emílio Carlos Sponchiado‐Júnior, Cristiano Miranda de Araujo   +9 more
wiley   +1 more source

Horizontal Trajectory Tracking Control of Underactuated AUV Backstepping Sliding Mode Based on RBF Neural Network

水下无人系统学报
A backstepping integral sliding mode control(BISMC) trajectory tracking control method for underactuated autonomous undersea vehicle(AUV) based on radial basis function(RBF) neural network was proposed to address the challenges of difficult horizontal ...
Chu WANG, Lei WANG, Zhen HU, Baoqiang HU
doaj   +1 more source

Air Pollution Detection and Sports Club Environmental Responsibility Based on the RBF Neural Network. [PDF]

Comput Intell Neurosci, 2022
Guo Z, Lin H, Qiao Z.
europepmc   +1 more source

CT‐Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave‐One‐Patient‐Out Cross‐Validation

Veterinary and Comparative Oncology, EarlyView.
ABSTRACT Accurate preoperative identification of cervical lymph node (LN) metastasis is essential for staging and treatment planning in dogs with oral malignancy, yet conventional imaging offers limited diagnostic sensitivity. This retrospective study evaluated whether CT‐derived radiomic features, combined with machine learning classifiers, could ...
Christopher J. Pinard, Andrew Lagree, Ryan Appleby, Michelle Oblak, Kuan‐Chuen Wu, William T. Tran   +5 more
wiley   +1 more source