A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank [0.03%]
一种新的自动化的稳健的双通道EEG睡眠评分系统，使用最优半带对线性相位双正交小波滤波器组
Manish Sharma,Paresh Makwana,Rajesh Singh Chad et al.
Manish Sharma et al.
Nowadays, the hectic work life of people has led to sleep deprivation. This may further result in sleep-related disorders and adverse physiological conditions. Therefore, sleep study has become an active research area. Sleep scoring is cruc...
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices [0.03%]
基于多注意深度神经网络和周边车辆检测设备的地铁客流量预测方法研究
Jheng-Long Wu,Mingying Lu,Chia-Yun Wang
Jheng-Long Wu
In the rapid development of public transportation led, the traffic flow prediction has become one of the most crucial issues, especially estimating the number of passengers using the Mass Rapid Transit (MRT) system. In general, predicting t...
A mechanics model based on information entropy for identifying influencers in complex networks [0.03%]
基于信息熵的复杂网络节点影响力识别力学模型研究
Shuyu Li,Fuyuan Xiao
Shuyu Li
The network, with some or all characteristics of scale-free, self-similarity, self-organization, attractor and small world, is defined as a complex network. The identification of significant spreaders is an indispensable research direction ...
Xiuyu Huang,Nan Zhou,Jian Huang et al.
Xiuyu Huang et al.
Domain adaptation (DA) is a popular strategy for pattern recognition and classification tasks. It leverages a large amount of data from the source domain to help train the model applied in the target domain. Supervised domain adaptation (SD...
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications [0.03%]
跨数据集的latent Beta-Liouville分配模型的隐私保护训练及应用
Zhiwen Luo,Manar Amayri,Wentao Fan et al.
Zhiwen Luo et al.
Cross-collection topic models extend previous single-collection topic models, such as Latent Dirichlet Allocation (LDA), to multiple collections. The purpose of cross-collection topic modeling is to model document-topic representations and ...
Early prediction of sepsis using double fusion of deep features and handcrafted features [0.03%]
利用深度特征和手工特征的双重融合进行脓毒症的早期预测
Yongrui Duan,Jiazhen Huo,Mingzhou Chen et al.
Yongrui Duan et al.
Sepsis is a life-threatening medical condition that is characterized by the dysregulated immune system response to infections, having both high morbidity and mortality rates. Early prediction of sepsis is critical to the decrease of mortali...
A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction [0.03%]
基于非线性图注意力和时间吸引力的联合网络在地理感官时间序列预测中的应用
Hongbin Dong,Shuang Han,Jinwei Pang et al.
Hongbin Dong et al.
Geo-sensory time series, such as the air quality and water distribution, are collected from numerous sensors at different geospatial locations in the same time interval. Each sensor monitors multiple parameters and generates multivariate ti...
TSF-transformer: a time series forecasting model for exhaust gas emission using transformer [0.03%]
TSF-Transformer：一种使用变压器的废气排放时间序列预测模型
Zhenyu Li,Xikun Zhang,Zhenbiao Dong
Zhenyu Li
Monitoring and prediction of exhaust gas emissions for heavy trucks is a promising way to solve environmental problems. However, the emission data acquisition is time delayed and the pattern of emission is usually irregular, which makes it ...
Gerhard Klassen,Martha Tatusch,Stefan Conrad
Gerhard Klassen
In modern data analysis, time is often considered just another feature. Yet time has a special role that is regularly overlooked. Procedures are usually only designed for time-independent data and are therefore often unsuitable for the temp...
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover [0.03%]
有效的机器学习，元启发式算法和多准则决策来最小化人力资源流失
Nima Pourkhodabakhsh,Mobina Mousapour Mamoudan,Ali Bozorgi-Amiri
Nima Pourkhodabakhsh
Employee turnover is one of the most important issues in human resource management, which is a combination of soft and hard skills. This makes it difficult for managers to make decisions. In order to make better decisions, this article has ...