Results 111 to 120 of about 13,817 (251)

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

Computer Graphics Forum, EarlyView.
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte, F. Kemper, U. Schwanecke, M. Botsch   +3 more
wiley   +1 more source

Water resource carrying capacity and obstacle factors in the Yellow River basin based on the RBF neural network model. [PDF]

Environ Sci Pollut Res Int, 2023
Sun X, Zhou Z, Wang Y.
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

A New Fuzzy Backstepping Control Based on RBF Neural Network for Vibration Suppression of Flexible Manipulator

Applied Sciences
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, Qingchun Zheng, Peihao Zhu, Wenpeng Ma, Jieyong Deng   +4 more
doaj   +1 more source

Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network. [PDF]

Comput Math Methods Med, 2022
Fang Y, Shi J, Huang Y, Zeng T, Ye Y, Su L, Zhu D, Huang J.   +7 more
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

The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching. [PDF]

Comput Intell Neurosci, 2022
Xiao L, Luo Y.
europepmc   +1 more source

Artificial Intelligence‐Based Approach for Determining the Risk of Temporomandibular Disorders

Journal of Oral Rehabilitation, EarlyView.
AI‐based model aims to be a practical decision support tool for early diagnosis and prevention of temporomandibular disorders, ultimately contributing to better clinical care and patient well‐being. ABSTRACT Objectives This study aims to predict TMD using ML approaches based on clinical and sociodemographic variables to aid in the early detection and ...
Damla Torul, Mustafa Hakan Bozkurt, Mehmet Melih Ömezli, Muhammed Furkan Yılmaz, Kübra Yıldız   +4 more
wiley   +1 more source

Forecasting Job Burnout among University Faculty Members of Yazd Payame Noor University Using Artificial Neural Network Technique

طب کار, 2019
Background: Faculty members are one of the main factors in the higher education system, that high level of occupational stress caused by educational, research, and executive duties makes them exposed to burnout.
Hamideh Shekari
doaj  

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source