Results 111 to 120 of about 14,713 (239)

Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]

Entropy (Basel), 2021
Song Q, Li S, Bai Q, Yang J, Zhang A, Zhang X, Zhe L.   +6 more
europepmc   +1 more source

Data‐Driven Spectral Prediction for Accelerating Large‐Scale Electronic Structure Calculations

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Simulating large molecular systems comprising thousands of atoms requires highly scalable methodologies. While modern Density Functional Theory (DFT) codes exhibit linear scaling, solving the associated large, sparse generalized eigenproblems remains a critical computational bottleneck on exascale architectures.
Abhiram Badrinarayanan, Davor Davidović, Edoardo Di Napoli, Jurica Novak, Luigi Genovese, Gustavo Ramirez‐Hidalgo, Xinzhe Wu   +6 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

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

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh, Om Sai Krishna Madhav Lella, Evan M. Wright, Karen Cichy, Valerio Hoyos‐Villegas   +4 more
wiley   +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

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 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  

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

Determination of dry bean physiological maturity from UAS RGB time series using a stacking ensemble of color‐derived spectral features

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluating physiological maturity is an important trait in dry bean breeding (Phaseolus vulgaris L.), but field scoring can be inaccurate, subjective, and a persistent bottleneck in multi‐environment trials. To address this, we developed a low‐cost, high‐throughput pipeline that predicts plot‐level days after planting at maturity from time ...
Aliasghar Bazrafkan, Lovepreet Singh, John Hawkins, Evan M. Wright, Valerio Hoyos‐Villegas   +4 more
wiley   +1 more source