Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.020646
Qi Liu, Xiaodong Liu, R. Grosu, Ching-Nung Yang
{"title":"Introduction to the Special Issue on Intelligent Models for Security and Resilience in Cyber Physical Systems","authors":"Qi Liu, Xiaodong Liu, R. Grosu, Ching-Nung Yang","doi":"10.32604/cmes.2022.020646","DOIUrl":"https://doi.org/10.32604/cmes.2022.020646","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"20 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78020914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.016437
Qian Wang, Xiaolong Yang, Di Pu, Yingying Fan
{"title":"Sustainable Investment Forecasting of Power Grids Based on the Deep Restricted Boltzmann Machine Optimized by the Lion Algorithm","authors":"Qian Wang, Xiaolong Yang, Di Pu, Yingying Fan","doi":"10.32604/cmes.2022.016437","DOIUrl":"https://doi.org/10.32604/cmes.2022.016437","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"61 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84696108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Scheduling for Flexible Regional Integrated Energy System with Soft Open Point","authors":"Wen Xu, D. Ren, Biyi Yi, Haoqing Zhen, Youbing Zhang, Xuesong Zhang","doi":"10.32604/cmes.2022.019564","DOIUrl":"https://doi.org/10.32604/cmes.2022.019564","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"44 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79445238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image Reconstruction for ECT under Compressed Sensing Framework Based on an Overcomplete Dictionary","authors":"Xuebin Qin, Yutong Shen, Jiachen Hu, Mingqiao Li, Peijiao Yang, Chenchen Ji, Xinlong Zhu","doi":"10.32604/cmes.2022.018234","DOIUrl":"https://doi.org/10.32604/cmes.2022.018234","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"36 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86010612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.017815
Ahmet Savaşan, B. Kaymakamzade, N. Gokbulut, E. Hıncal, E. Yoldascan
The aim of this study is to examine the progress of the worldwide pandemic Covid-19. As authors, we have decided to analyze the situation of COVID-19 on Mediterranean island with accurate data. For this purpose, a mathematical model is constructed and proposed by dividing the whole population into sensible and suitable compartments. The study captures the dates February 01 till May 15, 2021. For the control of the spread of disease, vaccination and infection rates are compared and calculated. During calculations and comparison, MatLab software is used. All of the data that are used are taken from the Ministry of Health. The effect of parameters is examined with sensitivity analysis. Furthermore, with this analysis, values of parameters are obtained. Afterwards, by using the constructed model, the effect of vaccine on infected individuals is analyzed separately. As a result, it is concluded that the studied part of the island is late for the control of the disease via vaccine. This can be explained by two main reasons;vaccinating the people that are not in mobility most of the time (aged people and people with chronic diseases) and getting the vaccine late. Hence, the results showed that this rate and distribution of vaccines would not be enough to control the pandemic on the island.
{"title":"Sensitivity Analysis of COVID-19 in Mediterranean Island","authors":"Ahmet Savaşan, B. Kaymakamzade, N. Gokbulut, E. Hıncal, E. Yoldascan","doi":"10.32604/cmes.2022.017815","DOIUrl":"https://doi.org/10.32604/cmes.2022.017815","url":null,"abstract":"The aim of this study is to examine the progress of the worldwide pandemic Covid-19. As authors, we have decided to analyze the situation of COVID-19 on Mediterranean island with accurate data. For this purpose, a mathematical model is constructed and proposed by dividing the whole population into sensible and suitable compartments. The study captures the dates February 01 till May 15, 2021. For the control of the spread of disease, vaccination and infection rates are compared and calculated. During calculations and comparison, MatLab software is used. All of the data that are used are taken from the Ministry of Health. The effect of parameters is examined with sensitivity analysis. Furthermore, with this analysis, values of parameters are obtained. Afterwards, by using the constructed model, the effect of vaccine on infected individuals is analyzed separately. As a result, it is concluded that the studied part of the island is late for the control of the disease via vaccine. This can be explained by two main reasons;vaccinating the people that are not in mobility most of the time (aged people and people with chronic diseases) and getting the vaccine late. Hence, the results showed that this rate and distribution of vaccines would not be enough to control the pandemic on the island.","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"8 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78888813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.018338
Qingbo Cai, R. Aslan
{"title":"Note on a New Construction of Kantorovich Form q-Bernstein Operators Related to Shape Parameter λ","authors":"Qingbo Cai, R. Aslan","doi":"10.32604/cmes.2022.018338","DOIUrl":"https://doi.org/10.32604/cmes.2022.018338","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82135469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.018652
Biyao Zhai, Lu Liu, S. Ji
{"title":"Numerical Analysis of Ice Rubble with a Freeze-Bond Model in Dilated Polyhedral Discrete Element Method","authors":"Biyao Zhai, Lu Liu, S. Ji","doi":"10.32604/cmes.2022.018652","DOIUrl":"https://doi.org/10.32604/cmes.2022.018652","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"31 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82449369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.32604/cmes.2022.018948
Xiao-Wei Gu, Shuwen Chen, Huisheng Zhu, Mackenzie Brown
Coronavirus disease 2019 brings a huge burden on the medical industry all over the world. In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies, chest computed tomography (CT) and chest X-ray (CXR) scans are becoming more intelligent, and playing an increasingly vital role in the diagnosis and treatment of diseases. This paper will introduce the segmentation of methods and applications. CXR and CT diagnosis of COVID-19 based on deep learning, which can be widely used to fight against COVID-19.
{"title":"COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things","authors":"Xiao-Wei Gu, Shuwen Chen, Huisheng Zhu, Mackenzie Brown","doi":"10.32604/cmes.2022.018948","DOIUrl":"https://doi.org/10.32604/cmes.2022.018948","url":null,"abstract":"Coronavirus disease 2019 brings a huge burden on the medical industry all over the world. In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies, chest computed tomography (CT) and chest X-ray (CXR) scans are becoming more intelligent, and playing an increasingly vital role in the diagnosis and treatment of diseases. This paper will introduce the segmentation of methods and applications. CXR and CT diagnosis of COVID-19 based on deep learning, which can be widely used to fight against COVID-19.","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"24 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87282373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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