Predicting the satisfiability of Boolean formulas by incorporating gated recurrent unit (GRU) in the Transformer framework [0.03%]
通过在Transformer框架中加入门控循环单元（GRU）来预测布尔公式的可满足性
Wenjing Chang,Mengyu Guo,Junwei Luo
Wenjing Chang
The Boolean satisfiability (SAT) problem exhibits different structural features in various domains. Neural network models can be used as more generalized algorithms that can be learned to solve specific problems based on different domain da...
piRNA-disease association prediction based on multi-channel graph variational autoencoder [0.03%]
基于多通道图变分自编码器的piRNA-疾病关联预测
Wei Sun,Chang Guo,Jing Wan et al.
Wei Sun et al.
Piwi-interacting RNA (piRNA) is a type of non-coding small RNA that is highly expressed in mammalian testis. PiRNA has been implicated in various human diseases, but the experimental validation of piRNA-disease associations is costly and ti...
Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation [0.03%]
一种基于平板电脑的脑机接口和上肢康复机器人原型系统研发
Kishor Lakshminarayanan,Vadivelan Ramu,Rakshit Shah et al.
Kishor Lakshminarayanan et al.
Background: The current study explores the integration of a motor imagery (MI)-based BCI system with robotic rehabilitation designed for upper limb function recovery in stroke patients. ...
Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges [0.03%]
基于自然语言处理的在线客户评论分析：综述、分类和公开研究挑战
Nadia Malik,Muhammad Bilal
Nadia Malik
In recent years, e-commerce platforms have become popular and transformed the way people buy and sell goods. People are rapidly adopting Internet shopping due to the convenience of purchasing from the comfort of their homes. Online review s...
SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection [0.03%]
基于结构感知多层次图注意力网络的自动谣言检测模型
Yafang Li,Zhihua Chu,Caiyan Jia et al.
Yafang Li et al.
The rapid dissemination of unverified information through social platforms like Twitter poses considerable dangers to societal stability. Identifying real versus fake claims is challenging, and previous work on rumor detection methods often...
Anomaly prediction of Internet behavior based on generative adversarial networks [0.03%]
基于生成对抗网络的互联网行为异常预测
XiuQing Wang,Yang An,Qianwei Hu
XiuQing Wang
With the popularity of Internet applications, a large amount of Internet behavior log data is generated. Abnormal behaviors of corporate employees may lead to internet security issues and data leakage incidents. To ensure the safety of info...
Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study [0.03%]
基于多目标优化增强传染病预测模型选择的实证研究
Deren Xu,Weng Howe Chan,Habibollah Haron
Deren Xu
As the pandemic continues to pose challenges to global public health, developing effective predictive models has become an urgent research topic. This study aims to explore the application of multi-objective optimization methods in selectin...
Improved temporal IoT device identification using robust statistical features [0.03%]
基于稳健统计特征的改进时间物联网设备识别方法
Nik Aqil,Faiz Zaki,Firdaus Afifi et al.
Nik Aqil et al.
The Internet of Things (IoT) is becoming more prevalent in our daily lives. A recent industry report projected the global IoT market to be worth more than USD 4 trillion by 2032. To cope with the ever-increasing IoT devices in use, identify...
Defining the analytical complexity of decision problems under uncertainty based on their pivotal properties [0.03%]
基于关键属性定义不确定条件下的决策问题的分析复杂度
Alexander Gutfraind
Alexander Gutfraind
Background: Uncertainty poses a pervasive challenge in decision analysis and risk management. When the problem is poorly understood, probabilistic estimation exhibits high variability and bias. Analysts then utilize vario...
Integrating international Chinese visualization teaching and vocational skills training: leveraging attention-connectionist temporal classification models [0.03%]
国际化中文视觉教学与职业技能培训的融合：利用注意力连接时序分类模型
Yuan Yao,Zhujun Dai,Muhammad Shahbaz
Yuan Yao
The teaching of Chinese as a second language has become increasingly crucial for promoting cross-cultural exchange and mutual learning worldwide. However, traditional approaches to international Chinese language teaching have limitations th...