In this paper, we propose a novel Hadamard Transform (HT)-based neural network layer for
hybrid quantum-classical computing. It implements the regular convolutional layers in the …

In the context of Cardiovascular Diseases, arrhythmia is one of the causes of sudden death,
which is related to abnormal electrical activities of the heart that can be reflected by the …

In this paper, we propose an E fficient F requency-G uided image deraining transformer,
called former, to explore the more useful self-attention values from the frequency domain for …

Electrocardiograph (ECG) signals are an important source of data on human heart health
and are widely used to detect different types of arrhythmias. With the development of deep …

Electroencephalogram (EEG) data compression is necessary for wireless recording
applications to reduce the amount of data that needs to be transmitted. In this paper, an …

The lack of an efficient preamble detection algorithm remains a challenge for solving
preamble collision problems in intelligent random access (RA) in the cellular Internet of …

Optical images of artificial satellites can provide wide-range geographic information, but
their large amount of information and severe noise interference during transmission limit …

Image inpainting has been a trending topic among researchers in recent years, which aims
to fill missing areas in images while maintaining visual and semantic consistency with the …

Domain generalization aims to train models on multiple source domains so that they can
generalize well to unseen target domains. Among many domain generalization methods …

Acoustic emission based Structural Health Monitoring (SHM) sensors are installed on
structures for continuous data collection to determine anomalies (eg, crack, corrosion) and …