In today's world, the advancement of telediagnostic equipment plays an essential role to
monitor heart disease. The earlier diagnosis of heart disease proliferates the compatibility of …

Accurate identification of coal-gangue have great significance for separation of coal-gangue.
The traditional coal-gangue identification method has the disadvantages of low accuracy …

Rail surface defects are serious to the quality and safety of railroad system operation. Due to
the diversity and randomness of rail defects form, the detection of rail surface defects is a …

Magnetic resonance imaging (MRI) is a standard tool for the diagnosis of stroke, but its
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …

In the process of gas turbine rotor fault diagnosis based on data-driven, transfer learning is
an effective method to solve the lack of gas turbines labeled data, which will result in domain …

Classical Handwriting recognition systems depend on manual feature extraction with a lot of
previous domain knowledge. It's difficult to train an optical character recognition system …

A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …

Accurate tree species identification is essential for ecological evaluation and other forest
applications. In this paper, we proposed a point-based deep neural network called …

U-Net based methods have been widely used in retinal vessel segmentation tasks. But there
are still some obstacles needing to be crossed, such as the loss of microvasculature details …

Biochar is recognized as a promising spectrum for thermal science applications considering
environmental protection. In this study, different artificial intelligence (AI) techniques are …