This paper brings deep learning at the forefront of research into time series classification
(TSC). TSC is the area of machine learning tasked with the categorization (or labelling) of …

Convolutional neural networks (CNNs) have gained growing interest in recent years for their
advantages in detecting cracks on concrete bridge components. Class imbalance is a …

Aiming at the problems of low detection accuracy and inaccurate positioning accuracy of
light-weight network in traffic sign recognition task, an improved light-weight traffic sign …

Road detection technology plays an essential role in a variety of applications, such as urban
planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there …

Abstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography,
in which images are taken as radio-opaque dye is flushed through the coronary vessels to …

Medical image segmentation plays a vital role in disease diagnosis and analysis. However,
data-dependent difficulties such as low image contrast, noisy background, and complicated …

Precise medical image segmentation is a crucial step for proper isolation of target regions,
such as an organ or lesion for accurate medical diagnosis, prognosis and certain medical …

China has witnessed extensive development of the marine aquaculture industry over recent
years. However, such rapid and disordered expansion posed risks to coastal environment …

Hidden object detection has attracted a lot of attention recently due to its importance in
security surveillance and other real-world applications. It is considered one of the most …

Nowadays, many sleep staging algorithms have not been widely used in practical situations
due to the lack of persuasiveness of generalization outside the given datasets. Thus, to …