Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

When the rolling bearing fails, the fault features contained in bearing vibration signal are
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …

The high-speed railway is a deeply coupled system with strong and weak electrical
equipment, while complex electromagnetic interference (EMI) consequently brings potential …

Accurate forecasts for pressurized water reactor safety parameters are essential to ensure
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …

Fatigue is a common state of mankind characterized by a reduction in the level of
consciousness and alertness. Therefore, the recognition of fatigue and sleepiness has …

The most widely used model in stock price forecasting is the long short-term memory
network (LSTM). However, LSTM has its limitations, as it does not recognize and extract …

Glaucoma is the leading cause of irreversible blindness worldwide and poses significant
diagnostic challenges due to its reliance on subjective evaluation. However, recent …

The safety and stability of a wind turbine is determined by the health condition of its gearbox.
The temperature variation, compared with other characteristics of the gearbox, can directly …

Diabetes is an illness that happens with a high level of glucose in the body, and can harm
the retina, causing permanent loss vision or diabetic retinopathy. The fundus oculi method …