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COVID-19 Detection via a 6-Layer Deep Convolutional Neural Network 基于6层深度卷积神经网络的COVID-19检测
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.016621
Shouming Hou, Ji Han
{"title":"COVID-19 Detection via a 6-Layer Deep Convolutional Neural Network","authors":"Shouming Hou, Ji Han","doi":"10.32604/cmes.2022.016621","DOIUrl":"https://doi.org/10.32604/cmes.2022.016621","url":null,"abstract":"Many people around the world have lost their lives due to COVID-19. The symptoms of most COVID-19 patients are fever, tiredness and dry cough, and the disease can easily spread to those around them. If the infected people can be detected early, this will help local authorities control the speed of the virus, and the infected can also be treated in time. We proposed a six-layer convolutional neural network combined with max pooling, batch normalization and Adam algorithm to improve the detection effect of COVID-19 patients. In the 10-fold cross-validation methods, our method is superior to several state-of-the-art methods. In addition, we use Grad-CAM technology to realize heat map visualization to observe the process of model training and detection.","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88590634","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}
引用次数: 3
Numerical Analysis of Ice Rubble with a Freeze-Bond Model in Dilated Polyhedral Discrete Element Method 基于扩展多面体离散元法的冰碎石冻结模型数值分析
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 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":null,"pages":null},"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}
引用次数: 1
Introduction to the Special Issue on Intelligent Models for Security and Resilience in Cyber Physical Systems 网络物理系统安全与弹性智能模型特刊导论
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 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":null,"pages":null},"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}
引用次数: 0
Dynamic Fatigue Reliability Analysis of Transmission Gear Considering Failure Dependence 考虑失效相关性的传动齿轮动态疲劳可靠性分析
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018181
Yonghua Li, Xiaoning Bai, S. Shi, S. Wang
{"title":"Dynamic Fatigue Reliability Analysis of Transmission Gear Considering Failure Dependence","authors":"Yonghua Li, Xiaoning Bai, S. Shi, S. Wang","doi":"10.32604/cmes.2022.018181","DOIUrl":"https://doi.org/10.32604/cmes.2022.018181","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74005961","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}
引用次数: 5
Sensitivity Analysis of COVID-19 in Mediterranean Island 地中海岛屿地区COVID-19的敏感性分析
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.017815
Ahmet Savaşan, B. Kaymakamzade, N. Gokbulut, E. Hıncal, E. Yoldascan
{"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":null,"pages":null},"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}
引用次数: 1
An Optimized Convolutional Neural Network with Combination Blocks for Chinese Sign Language Identification 基于组合块的优化卷积神经网络中文手语识别
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019970
Ya Gao, Yanqiong Zhang, Xianwei Jiang
{"title":"An Optimized Convolutional Neural Network with Combination Blocks for Chinese Sign Language Identification","authors":"Ya Gao, Yanqiong Zhang, Xianwei Jiang","doi":"10.32604/cmes.2022.019970","DOIUrl":"https://doi.org/10.32604/cmes.2022.019970","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90682504","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}
引用次数: 1
Visualization Detection of Solid–Liquid Two-Phase Flow in Filling Pipeline by Electrical Capacitance Tomography Technology 用电容层析成像技术可视化检测灌装管道固液两相流
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018965
Ning Jing, Mingqiao Li, Lang Liu, Yu-Su Shen, Peijiao Yang, Xuebin Qin
{"title":"Visualization Detection of Solid–Liquid Two-Phase Flow in Filling Pipeline by Electrical Capacitance Tomography Technology","authors":"Ning Jing, Mingqiao Li, Lang Liu, Yu-Su Shen, Peijiao Yang, Xuebin Qin","doi":"10.32604/cmes.2022.018965","DOIUrl":"https://doi.org/10.32604/cmes.2022.018965","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72542632","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}
引用次数: 1
Asymptotic Approximations of Apostol-Tangent Polynomials in terms of Hyperbolic Functions 用双曲函数表示apostolp - tan多项式的渐近逼近
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019965
Cristina B. Corcino, Wilson D. Casta馿da Jr., Roberto B. Corcino
{"title":"Asymptotic Approximations of Apostol-Tangent Polynomials in terms of Hyperbolic Functions","authors":"Cristina B. Corcino, Wilson D. Casta馿da Jr., Roberto B. Corcino","doi":"10.32604/cmes.2022.019965","DOIUrl":"https://doi.org/10.32604/cmes.2022.019965","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72930923","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}
引用次数: 2
ResNet50-Based Effective Model for Breast Cancer Classification Using Histopathology Images 基于resnet50的组织病理图像乳腺癌分类有效模型
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.017030
N. Behar, M. Shrivastava
{"title":"ResNet50-Based Effective Model for Breast Cancer Classification Using Histopathology Images","authors":"N. Behar, M. Shrivastava","doi":"10.32604/cmes.2022.017030","DOIUrl":"https://doi.org/10.32604/cmes.2022.017030","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81543536","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}
引用次数: 6
Traffic Accident Detection Based on Deformable Frustum Proposal and Adaptive Space Segmentation 基于可变形截点建议和自适应空间分割的交通事故检测
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.016632
Peng Chen, Weiwei Zhang, Z. Xiao, Yongxiang Tian
{"title":"Traffic Accident Detection Based on Deformable Frustum Proposal and Adaptive Space Segmentation","authors":"Peng Chen, Weiwei Zhang, Z. Xiao, Yongxiang Tian","doi":"10.32604/cmes.2022.016632","DOIUrl":"https://doi.org/10.32604/cmes.2022.016632","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82484846","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}
引用次数: 2
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