Results 101 to 110 of about 13,903 (231)

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

open access: yesVeterinary 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   +5 more
wiley   +1 more source

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

open access: yesJixie 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   +4 more
doaj  

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

open access: yesThe 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   +4 more
wiley   +1 more source

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

open access: yes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

High‐throughput image‐based phenotyping of soybean hilum color

open access: yesThe 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   +2 more
wiley   +1 more source

Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 37, October 5, 2026.
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder   +3 more
wiley   +1 more source

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

open access: yesJournal of Oral Rehabilitation, Volume 53, Issue 9, Page 1665-1674, September 2026.
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   +4 more
wiley   +1 more source

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

open access: yesApplied 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   +4 more
doaj   +1 more source

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