In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

This paper examines the recent advances made in the field of Deep Learning (DL) methods
for the automated identification of Partial Discharges (PD). PD activity is an indication of the …

Listening to lung sounds through auscultation is vital in examining the respiratory system for
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …

Environmental sound classification is one of the important issues in the audio recognition
field. Compared with structured sounds such as speech and music, the time–frequency …

Music is a heavenly way of expressing feelings about the world. The language of music has
vast diversity. For centuries, people have indulged in debates to stratisfy between Western …

Water environment time series prediction is important to efficient water resource
management. Traditional water quality prediction is mainly based on linear models …

Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …

Deep generative models have recently achieved impressive performance in speech and
music synthesis. However, compared to the generation of those domain-specific sounds …

Automatic segmentation of salient objects in real-world images has gained increasing
interests owing to its popularity in diverse real-world applications, such as autonomous …

This article presents a solution for fatigue recognition through a new deep learning model
that has a characteristic input of the power spectrum of an electroencephalogram (EEG) …