Determining the location of isolation hospitals for COVID-19 via Delphi-based MCDM method [0.03%]
基于德尔菲法的多准则决策方法确定COVID-19隔离医院的位置
Nezir Aydin,Sukran Seker
Nezir Aydin
The existing contagious epidemic disease, [SARS]-CoV-2, has been one of the biggest public health problems that humankind combatting against since December 2019. Answering the increase in the number of infected patients during the pandemic ...
Nonparametric fuzzy hypothesis testing for quantiles applied to clinical characteristics of COVID-19 [0.03%]
应用于COVID-19临床特征的非参数模糊假设检验方法量化分析指标值分布百分位点差异问题的研究
Nataliya Chukhrova,Arne Johannssen
Nataliya Chukhrova
The sign test is one of the most popular nonparametric tests for location problems and allows testing for any quantile of a population. However, the common sign test has serious drawbacks such as loss of information by considering solely si...
Using self-organising maps to predict and contain natural disasters and pandemics [0.03%]
运用自组织映射预测和遏制自然灾害和流行病
Raymond Moodley,Francisco Chiclana,Fabio Caraffini et al.
Raymond Moodley et al.
The unfolding coronavirus (COVID-19) pandemic has highlighted the global need for robust predictive and containment tools and strategies. COVID-19 continues to cause widespread economic and social turmoil, and while the current focus is on ...
A novel corpus-based computing method for handling critical word-ranking issues: An example of COVID-19 research articles [0.03%]
一种处理关键词排名问题的新型基于语料库的计算方法：以关于冠状病毒疾病的科研论文为例
Liang-Ching Chen,Kuei-Hu Chang
Liang-Ching Chen
A corpus is a massive body of structured textual data that are stored and operated electronically. It usually combines with statistics, machine learning algorithms, or artificial intelligence (AI) technologies to explore the semantic relati...
Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature [0.03%]
对抗新冠疫情下的多属性决策研究：系统综述与展望
Mohammed Assim Alsalem,Rawia Mohammed,Osamah Shihab Albahri et al.
Mohammed Assim Alsalem et al.
Considering the coronavirus disease 2019 (COVID-19) pandemic, the government and health sectors are incapable of making fast and reliable decisions, particularly given the various effects of decisions on different contexts or countries acro...
Generalized two-tailed hypothesis testing for quantiles applied to the psychosocial status during the COVID-19 pandemic [0.03%]
应用于COVID-19大流行期间心理社会状况的量子两尾假设检验
Nataliya Chukhrova,Arne Johannssen
Nataliya Chukhrova
Nonparametric tests do not rely on data belonging to any particular parametric family of probability distributions, which makes them preferable in case of doubt about the underlying population. Although the two-tailed sign test is likely th...
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases [0.03%]
自我学习以实现针对肺炎病例的新冠肺炎诊断的无监督元学习与自我知识蒸馏
Wenbo Zheng,Lan Yan,Chao Gou et al.
Wenbo Zheng et al.
The goal of diagnosing the coronavirus disease 2019 (COVID-19) from suspected pneumonia cases, that is, recognizing COVID-19 from chest X-ray or computed tomography (CT) images, is to improve diagnostic accuracy, leading to faster intervent...
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network [0.03%]
基于深度图神经网络相邻感知表示的COVID-19分类:NAGNN方法
Siyuan Lu,Ziquan Zhu,Juan Manuel Gorriz et al.
Siyuan Lu et al.
COVID-19 pneumonia started in December 2019 and caused large casualties and huge economic losses. In this study, we intended to develop a computer-aided diagnosis system based on artificial intelligence to automatically identify the COVID-1...
A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease [0.03%]
基于向上模糊偏好关系的模糊粗糙集模型的综合研究：性质与冠状病毒疾病治疗应用
Noor Rehman,Abbas Ali,Peide Liu et al.
Noor Rehman et al.
In this paper, we first introduce a new type of rough sets called α-upward fuzzified preference rodownward fuzzy preferenceugh sets using upward fuzy preference relation. Thereafter on the basis of α-upward fuzzified preference ro...
Emergency decision support modeling for COVID-19 based on spherical fuzzy information [0.03%]
基于球形模糊信息的新冠肺炎应急决策支持模型研究
Shahzaib Ashraf,Saleem Abdullah
Shahzaib Ashraf
Significant emergency measures should be taken until an emergency event occurs. It is understood that the emergency is characterized by limited time and information, harmfulness and uncertainty, and decision-makers are always critically bou...