An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users [0.03%]
手持设备用户肌肉骨骼病风险等级识别的综合多准则决策方法研究
Rahul Jain,Kunj Bihari Rana,Makkhan Lal Meena
Rahul Jain
In work-from-home (WFH) situation due to coronavirus (COVID-19) pandemic, the handheld device (HHD) users work in awkward postures for longer hours because of unavailability of ergonomically designed workstations. This problem results in di...
Influencing factors analysis and development trend prediction of population aging in Wuhan based on TTCCA and MLRA-ARIMA [0.03%]
基于TTCCA和MLRA-ARIMA的武汉市人口老龄化影响因素分析及发展趋势预测
Congjun Rao,Yun Gao
Congjun Rao
With the rapid development of the economy, the problem of population aging has become increasingly prominent. To analyse the key factors affecting population aging effectively and predict the development trend of population aging timely are...
A hybrid method for biometric authentication-oriented face detection using autoregressive model with Bayes Backpropagation Neural Network [0.03%]
一种基于自回归模型与贝叶斯反向传播神经网络的面向生物认证的脸部检测混合方法
M Vasanthi,K Seetharaman
M Vasanthi
This paper proposes a novel method, which is coined as ARBBPNN, for biometric-oriented face detection, based on autoregressive model with Bayes backpropagation neural network (BBPNN). Firstly, the given input colour key face image is modell...
Optimization using the firefly algorithm of ensemble neural networks with type-2 fuzzy integration for COVID-19 time series prediction [0.03%]
基于火萤算法和二型模糊集成神经网络的新冠肺炎时间序列预测优化方法研究
Patricia Melin,Daniela Sánchez,Julio Cesar Monica et al.
Patricia Melin et al.
In this paper, the latest global COVID-19 pandemic prediction is addressed. Each country worldwide has faced this pandemic differently, reflected in its statistical number of confirmed and death cases. Predicting the number of confirmed and...
Correction to: A new emergency response of spherical intelligent fuzzy decision process to diagnose of COVID19 [0.03%]
Correction to: 球面智能模糊决策过程在新冠肺炎诊断中的一种新的应急响应
Shahzaib Ashraf,Saleem Abdullah,Alaa O Almagrabi
Shahzaib Ashraf
[This corrects the article DOI: 10.1007/s00500-020-05287-8.]. © Springer-Verlag GmbH Germany, part of Springer Nature 2021.
Published Erratum
Soft computing. 2023;27(6):3551. DOI:10.1007/s00500-020-05570-8 2023
Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML [0.03%]
使用卡尔曼滤镜和自动机器学习建模COVID-19死亡率的演变过程
Tao Han,Francisco Nauber Bernardo Gois,Ramsés Oliveira et al.
Tao Han et al.
The COVID-19 pandemic continues to have a destructive effect on the health and well-being of the global population. A vital step in the battle against it is the successful screening of infected patients, together with one of the effective s...
A fuzzy rough hybrid decision making technique for identifying the infected population of COVID-19 [0.03%]
一种用于识别COVID-19感染人群的模糊粗决策技术
Sandip Majumder,Samarjit Kar,Eshan Samanta
Sandip Majumder
Decision theoretic rough set model have been used over many years in most of the application areas. It provides a novel way for knowledge acquisition, especially when dealing with vagueness and uncertainty. Many mathematical modelings have ...
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images [0.03%]
基于深度学习的COVID-CheXNet框架在胸部X光片中识别新型冠状病毒肺炎(COVID-19)
Alaa S Al-Waisy,Shumoos Al-Fahdawi,Mazin Abed Mohammed et al.
Alaa S Al-Waisy et al.
The outbreaks of Coronavirus (COVID-19) epidemic have increased the pressure on healthcare and medical systems worldwide. The timely diagnosis of infected patients is a critical step to limit the spread of the COVID-19 epidemic. The chest r...
A new prediction approach of the COVID-19 virus pandemic behavior with a hybrid ensemble modular nonlinear autoregressive neural network [0.03%]
一种新的COVID-19病毒大流行行为预测方法，采用混合群体模块化非线性自回归神经网络
Patricia Melin,Julio Cesar Monica,Daniela Sanchez et al.
Patricia Melin et al.
We describe in this paper an approach for predicting the COVID-19 time series in the world using a hybrid ensemble modular neural network, which combines nonlinear autoregressive neural networks. At the level of the modular neural network, ...
A topic-based hierarchical publish/subscribe messaging middleware for COVID-19 detection in X-ray image and its metadata [0.03%]
基于主题的层次发布/订阅消息中间件在X光图像及其元数据中检测COVID-19
Süleyman Eken
Süleyman Eken
Putting real-time medical data processing applications into practice comes with some challenges such as scalability and performance. Processing medical images from different collaborators is an example of such applications, in which chest X...