By leveraging deep learning methods, pavement crack detection can be more automatic,
efficient, and accurate than manual inspection. To solve the problem of limited receptive field …

To address the issues of low detection precision, slow detection speed, and imbalanced
defect samples in the surface defect detection of nonstandard parts, we propose a method …

Dear editor, This letter presents an automatic data augmentation algorithm for medical
image segmentation. To increase the scale and diversity of medical images, we propose a …

3D soma detection in whole brain images is a critical step for neuron reconstruction.
However, existing soma detection methods are not suitable for whole mouse brain images …

In recent years, researchers have developed many deep-learning-based methods to count
crowd numbers in static images. However, much fewer works focus on video-based crowd …

Aiming at the requirements of nondestructive testing and intelligent recognition of cracks
inside the pavement structures, a ground penetrating radar (GPR) detection and automatic …

This paper investigates the event-trigger-based fixed-time tracking control of a fully-actuated
marine surface vehicle subject to full-state constraints, lumped disturbances, model …

Crack detection of the concrete bridge is an essential index for the safety assessment of
bridge structure. It is more important to check the whole structure than to check the accuracy …

The microcrack defect in the terminal electrode of the tantalum capacitor seriously affects the
service life of the capacitor. However, the microcrack displays low contrast and large noises …

Infrared thermography testing (IRT) has been widely used in the defect detection of
composite materials. However, the identification of defects characteristics is unsatisfying due …