The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-
performance segmentation can lower misdiagnosis risks. Part of the medical devices often …

Biomass to coal-like hydrochar via hydrothermal carbonization (HTC) is a promising route
for sustainability development. Yet conventional experimental method is time-consuming …

Nowadays, air pollution has become one of the most serious environmental problems facing
humanity and an inescapable obstacle limiting the sustainable development of cities and …

Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …

Unsupervised 2D image-based 3D model retrieval aims at retrieving images from the gallery
of 3D models by the given 2D images. Despite the encouraging progress made in this task …

The safe application of discharge equipment, such as transformers, is related to the
reliability of smart power grid and is crucial to the stable operation of the power system …

Recent years have witnessed the exciting performance of trackers based on Transformer.
However, they usually separate the process of information extraction and integration …

Early diagnosis plays a pivotal role in effectively treating numerous diseases, especially in
healthcare scenarios where prompt and accurate diagnoses are essential. Contrastive …