Image captioning is shown to be able to achieve a better performance by using scene
graphs to represent the relations of objects in the image. The current captioning encoders …

Electroencephalography (EEG) is one of the most popular techniques to record the brain
activities such as motor imagery, which is of low signal-to-noise ratio and could lead to high …

The variety of event categories and event boundary information have resulted in limited
success for acoustic event detection systems. To deal with this, we propose to utilize the …

The noise included in pipeline pressure signal is a small noise whose energy takes a small
proportion of pressure signal and is concentrated on high frequency components. However …

This paper presents a non-intrusive solenoid valve fault diagnosis method, which adopts the
eigenvalue extraction scheme and combines the time-frequency analysis and time-domain …

Background Motor imagery classification, an important branch of brain-computer interface
(BCI), recognizes the intention of subjects to control external auxiliary equipment. Therefore …

Convolutional Neural networks (CNN) have been the first choice of paradigm in many
computer vision applications. The convolution operation however has a significant …

Sound event detection in real-world environments suffers from the interference of non-
stationary and time-varying noise. This paper presents an adaptive noise reduction method …

Brain-computer interface (BCI) is an alternative pathway for communication between the
brain and the outside world. Electroencephalography (EEG) records electrical signal that …

The detection and classification of underwater targets such as fish are one of the major tasks
of the underwater acoustic signal processing and are very important for scientific, fisheries …