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COVID-19 pandemic risk analytics: Data mining with reliability engineering methods for analyzing spreading behavior and comparison with infectious diseases COVID-19大流行风险分析:使用可靠性工程方法进行数据挖掘，分析传播行为并与传染病进行比较
Studies in computational intelligence Pub Date : 2020-11-12 DOI: 10.1101/2020.11.08.20227322
A. Puls, S. Bracke
{"title":"COVID-19 pandemic risk analytics: Data mining with reliability engineering methods for analyzing spreading behavior and comparison with infectious diseases","authors":"A. Puls, S. Bracke","doi":"10.1101/2020.11.08.20227322","DOIUrl":"https://doi.org/10.1101/2020.11.08.20227322","url":null,"abstract":"In December 2019, the world was confronted with the outbreak of the respiratory disease COVID-19 (Corona). The first infection (confirmed case) was detected in the City Wuhan, Hubei, China. First, it was an epidemic in China, but in the first quarter of 2020, it evolved into a pandemic, which continues to this day. The COVID-19 pandemic with its incredible speed of spread shows the vulnerability of a globalized and networked world. The first months of the pandemic were characterized by heavy burden on health systems. Worldwide, the population of countries was affected with severe restrictions, like educational system shutdown, public traffic system breakdown or a comprehensive lockdown. The severity of the burden was dependent on many factors, e.g. government, culture or health system. However, the burden happened regarding each country with slight time lags, cf. Bracke et al. (2020). This paper focuses on data analytics regarding infection data of the COVID-19 pandemic. It is a continuation of the research study COVID-19 pandemic data analytics: Data heterogeneity, spreading behavior, and lockdown impact, published by Bracke et al. (2020). The goal of this assessment is the evaluation/analysis of infection data mining considering model uncertainty, pandemic spreading behavior with lockdown impact and early second wave in Germany, Italy, Japan, New Zealand and France. Furthermore, a comparison with other infectious diseases (measles and influenza) is made. The used data base from Johns Hopkins University (JHU) runs from 01/22/2020 until 09/22/2020 with daily data, the dynamic development after 09/22/2020 is not considered. The measles/influenza analytics are based on Robert Koch Institute (RKI) data base 09/22/2020. Statistical models and methods from reliability engineering like Weibull distribution model or trend test are used to analyze the occurrence of infection.","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134470497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
High Level Video Event Modeling, Recognition and Reasoning via Petri Net 基于Petri网的高级视频事件建模、识别和推理
Studies in computational intelligence Pub Date : 2020-11-11 DOI: 10.1007/978-3-030-56178-9_6
Zhijiao Xiao, Jianmin Jiang, Zhong Ming
{"title":"High Level Video Event Modeling, Recognition and Reasoning via Petri Net","authors":"Zhijiao Xiao, Jianmin Jiang, Zhong Ming","doi":"10.1007/978-3-030-56178-9_6","DOIUrl":"https://doi.org/10.1007/978-3-030-56178-9_6","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131421034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis COVID-19计算智能导论:监测、预防、预测和诊断
Studies in computational intelligence Pub Date : 2020-10-17 DOI: 10.1007/978-981-15-8534-0_1
Khalid Raza, null Maryam, Sahar Qazi
{"title":"An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis","authors":"Khalid Raza, null Maryam, Sahar Qazi","doi":"10.1007/978-981-15-8534-0_1","DOIUrl":"https://doi.org/10.1007/978-981-15-8534-0_1","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Effective Acceptance Strategy Using Cluster-Based Opponent Modeling in Multilateral Negotiation 基于聚类的多边谈判对手建模的有效接受策略
Studies in computational intelligence Pub Date : 2020-08-29 DOI: 10.1007/978-981-15-5869-6_6
Zahra Khosravimehr, Faria Nassiri-Mofakham
{"title":"Effective Acceptance Strategy Using Cluster-Based Opponent Modeling in Multilateral Negotiation","authors":"Zahra Khosravimehr, Faria Nassiri-Mofakham","doi":"10.1007/978-981-15-5869-6_6","DOIUrl":"https://doi.org/10.1007/978-981-15-5869-6_6","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127605996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Conclusions and Outlooks 结论与展望
Studies in computational intelligence Pub Date : 2020-08-25 DOI: 10.1007/978-94-007-1917-0_18
S. Dong
{"title":"Conclusions and Outlooks","authors":"S. Dong","doi":"10.1007/978-94-007-1917-0_18","DOIUrl":"https://doi.org/10.1007/978-94-007-1917-0_18","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analyzing the Relationship Among Aging Society, Investment in Artificial Intelligence and Economic Growth 老龄化社会、人工智能投资与经济增长关系分析
Studies in computational intelligence Pub Date : 2020-08-06 DOI: 10.1007/978-3-030-49728-6_27
Kantika Khanthawithoon, Paravee Maneejuk, W. Yamaka
{"title":"Analyzing the Relationship Among Aging Society, Investment in Artificial Intelligence and Economic Growth","authors":"Kantika Khanthawithoon, Paravee Maneejuk, W. Yamaka","doi":"10.1007/978-3-030-49728-6_27","DOIUrl":"https://doi.org/10.1007/978-3-030-49728-6_27","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129609578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Why Beta Priors: Invariance-Based Explanation 为什么贝塔先验:基于不变性的解释
Studies in computational intelligence Pub Date : 2020-08-06 DOI: 10.1007/978-3-030-49728-6_8
O. Kosheleva, V. Kreinovich, K. Autchariyapanitkul
{"title":"Why Beta Priors: Invariance-Based Explanation","authors":"O. Kosheleva, V. Kreinovich, K. Autchariyapanitkul","doi":"10.1007/978-3-030-49728-6_8","DOIUrl":"https://doi.org/10.1007/978-3-030-49728-6_8","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115406152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
How to Gauge a Combination of Uncertainties of Different Type: General Foundations 如何衡量不同类型不确定因素的组合:一般基础
Studies in computational intelligence Pub Date : 2020-08-06 DOI: 10.1007/978-3-030-49728-6_13
I. Neumann, V. Kreinovich, T. N. Nguyen
{"title":"How to Gauge a Combination of Uncertainties of Different Type: General Foundations","authors":"I. Neumann, V. Kreinovich, T. N. Nguyen","doi":"10.1007/978-3-030-49728-6_13","DOIUrl":"https://doi.org/10.1007/978-3-030-49728-6_13","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129969130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) 重新审视基于排名的投票:最大熵方法导致Borda计数(及其版本)
Studies in computational intelligence Pub Date : 2020-08-06 DOI: 10.1007/978-3-030-49728-6_9
O. Kosheleva, V. Kreinovich, Guo Wei
{"title":"Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions)","authors":"O. Kosheleva, V. Kreinovich, Guo Wei","doi":"10.1007/978-3-030-49728-6_9","DOIUrl":"https://doi.org/10.1007/978-3-030-49728-6_9","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124964502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning for Medical Decision Support Systems 医疗决策支持系统的深度学习
Studies in computational intelligence Pub Date : 2020-06-22 DOI: 10.1007/978-981-15-6325-6
Utku Kose, Omer Deperlioglu, J. Alzubi, B. Patrut
{"title":"Deep Learning for Medical Decision Support Systems","authors":"Utku Kose, Omer Deperlioglu, J. Alzubi, B. Patrut","doi":"10.1007/978-981-15-6325-6","DOIUrl":"https://doi.org/10.1007/978-981-15-6325-6","url":null,"abstract":"","PeriodicalId":163967,"journal":{"name":"Studies in computational intelligence","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131409786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
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