The empirical wavelet transform (EWT) has made outstanding contributions in the field of
fault diagnosis. However, when EWT processes complex signals, there may be modal …

Electromyography (EMG) measures the electrical activity in muscles during movement. An
electromyography machine records the electrical signals from the muscle's movements as …

Empirical wavelet transform (EWT) can successfully decompose a smooth or noise-free
simulated signal into several components. This method has encountered difficulties in …

When the traditional dark channel prior (DCP) algorithm is used for image defogging, it faces
some problems such as unsatisfactory restoration of the target edge details, distortion in …

The electrocardiogram (ECG) is a diagnostic tool that provides insights into the heart's
electrical activity and overall health. However, internal and external noises complicate …

The efficient and accurate identification of traffic signs is crucial to the safety and reliability of
active driving assistance and driverless vehicles. However, the accurate detection of traffic …

The images captured in an outdoor environment have the possibility of being degraded in
the presence of air particles that scatters and absorbs light. This degradation of images …

Aiming at the problem that the dark channel prior algorithm is not ideal in removing fog at the
distant view and the sudden change of depth, this paper proposes an adaptive bright and …

As an advanced machine vision task, traffic sign recognition is of great significance to the
safe driving of autonomous vehicles. Haze has seriously affected the performance of traffic …

Electromyography (EMG) is a diagnostic tool commonly used to assess the electrical activity
of muscles. This test can help diagnose various neuromuscular conditions, evaluate muscle …