Decoding auditory evoked electroencephalographic (EEG) signals to correlate them with
speech acoustic features and construct transitional signals between different domain signals …

Antimicrobial peptides (AMPs) are small peptides that play an important role in disease
defense. As the problem of pathogen resistance caused by the misuse of antibiotics …

Printed circuit boards present several challenges to the detection of defects, including
targets of insufficient size and distribution, a high level of background noise, and a variety of …

Due to obstructions such as trees and buildings, single-modal satellite or aerial images are
insufficient for continuous high-precision representation of road features. To address this …

Prototype learning is widely used in face recognition, which takes the row vectors of
coefficient matrix in the last linear layer of the feature extraction model as the prototypes for …

Detecting cracks with pixel-level precision for key structures is a significant challenge, as
existing methods struggle to effectively integrate local textures and pixel dependencies of …

This study introduces a comprehensive classification system employing a deep learning
network architecture to distinguish between student uniforms from different academic years …

The widespread use of the Internet and social media has posed significant challenges to
automated sentiment analysis, particularly in relation to detecting sarcasm in user-generated …

Knowledge graph embeddings play a vital role in subsequent tasks such as link prediction,
entity alignment, and question answering systems. However, current techniques frequently …

Wildfire, as a serious natural disaster, poses a significant threat to humans and the
environment. To promptly discover wildfire and control them, fire detection technology is …