Lasso-Logistic, XGBoost, Random Forest, K-Nearest Neighbor, and Support Vector Machine models were constructed. The prediction performance of the models was compared through AUC, Accuracy, Precision, ...

The quantum edge detection algorithm has already been applied in practical scenarios across medical imaging analysis, remote sensing image processing, industrial quality inspection, and autonomous ...

Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold, cannot provide realistic representations of these 'disordered' and 'chaotic' protein regions as a whole.

Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process ...

1 School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China; 2 Shenzhen Lanmage Medical Technology Co., Ltd, Shenzhen, Guangdong, China; Objectives: This study ...

Image classification algorithms are notoriously error-prone, but a novel method for spotting errors within incomprehensible AI code could help solve the problem.

In an intelligent transportation system, accurate traffic flow prediction can provide significant help for travel planning. Even though some methods are proposed to do so, they focus on either ...