Buffeting of long-span bridges caused by the wind turbulence could result in problems of
large deformation, fatigue, traffic safety and user comfort. The calculation of buffeting …

Immense effort has been exerted in the materials informatics community towards enhancing
the accuracy of machine learning (ML) models; however, the uncertainty quantification (UQ) …

A global–local attention-based feature reconstruction (GLAFR) surrogate model is proposed
for uncertainty analysis (UA) in ground penetrating radar (GPR) simulation. The uncertain …

To address the uncertainty of optimal vibratory frequency fov of high-speed railway graded
gravel (HRGG) and achieve high-precision prediction of the fov, the following research was …

Artificial neural networks (ANNs) have appeared as a potential alternative for uncertainty
quantification (UQ) in the finite difference time-domain (FDTD) computation. They are …

Pediatric pneumonia is a leading cause of morbidity and mortality in children under five,
emphasizing the urgent need for automated diagnostic systems. While deep learning has …

This paper presents the Frequency-Integrated Visual-Language Network (FIVLNet), a deep
learning (DL) framework tailored to improve the diagnostic accuracy for Attention Deficit …

Pediatric medical image classification faces enormous challenges due to the subtlety of
children's physiology, the subtle manifestations of pathological changes, and the urgent …

Underwater images are important in a range of image-driven applications, such as marine
biology and underwater surveillance. However, underwater imaging is subject to several …

Object imaging and recognition under difficult visual conditions is extremely challenging due
to the captured low-quality images, and traditional optical-based recognition methods …