The work presented here introduces a developed electrochemical biosensor for the salivary detection of matrix metalloproteinase-8 (MMP-8), utilizing a molecularly imprinted polymer (MIP) matrix based on poly(o-phenylenediamine). To enhance detection ... read more
Magnetic tiles surface defect detection is crucial in industrial production. However, it is difficult to effectively detect and locate defective areas in magnetic tiles due to the following problems: (1) The defect texture of the magnetic tile materi... read more
Precise fare prediction is crucial in ride-hailing platforms and urban
mobility systems. This study examines three machine learning models-Graph
Attention Networks (GAT), XGBoost, and TimesNet to evaluate their predictive
capabilities for taxi fare... read more
Existing Log Anomaly Detection (LogAD) methods are often slow, dependent on
error-prone parsing, and use unrealistic evaluation protocols. We introduce
$K^4$, an unsupervised and parser-independent framework for high-performance
online detection. $... read more
Current merge tools don't detect semantic conflicts, which occur when changes
from different developers are textually integrated but semantically interfere
with each other. Although researchers have proposed static analyses for
detecting semantic c... read more
This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fu... read more
Medical image segmentation plays an important role in computer-aided
diagnosis. Traditional convolution-based U-shape segmentation architectures are
usually limited by the local receptive field. Existing vision transformers have
been widely applied... read more
Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more
The increasing demand for sustainable construction materials has prompted the investigation of non-biodegradable waste, such as human hair (HH), for concrete reinforcement. This study seeks to evaluate the impact of HH fiber on the fresh, physical, a... read more
Medical image analysis plays a pivotal role in the early diagnosis of
diseases such as skin lesions. However, the scarcity of data and the class
imbalance significantly hinder the performance of deep learning models. We
propose a novel method that ... read more
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