Abstract: With the development of the Internet, the policy text classification model of deep learning is used to improve the effect of policy text classification, and to play and use the huge value ...

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...

Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...

Instead of defaulting to the notifications on my phone, poetry has inspired me to begin the day in a different way. By Charley Locke Most mornings, as soon as I wake up, I feel the pull of my phone.

Introduction: Attention classification based on EEG signals is crucial for brain-computer interface (BCI) applications. However, noise interference and real-time signal fluctuations hinder accuracy, ...

1 School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 Henan Center for Drug Evaluation and Inspection, Zhengzhou, Henan, China This study ...