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Some Formulas Involving Hypergeometric Functions in Four Variables 涉及四变量超几何函数的几个公式
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.016924
H. Aydi, Ashish Verma, J. A. Younis, Jung Rye Lee
{"title":"Some Formulas Involving Hypergeometric Functions in Four Variables","authors":"H. Aydi, Ashish Verma, J. A. Younis, Jung Rye Lee","doi":"10.32604/cmes.2022.016924","DOIUrl":"https://doi.org/10.32604/cmes.2022.016924","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"75 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87804304","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
Wavelet Decomposition Impacts on Traditional Forecasting Time Series Models 小波分解对传统时间序列预测模型的影响
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.017822
W. A. Shaikh, S. F. Shah, S. M. Pandhiani, M. A. Solangi
{"title":"Wavelet Decomposition Impacts on Traditional Forecasting Time Series Models","authors":"W. A. Shaikh, S. F. Shah, S. M. Pandhiani, M. A. Solangi","doi":"10.32604/cmes.2022.017822","DOIUrl":"https://doi.org/10.32604/cmes.2022.017822","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"10 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89363032","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: 4
Identification of Denatured Biological Tissues Based on Improved Variational Mode Decomposition and Autoregressive Model during HIFU Treatment 基于改进变分模式分解和自回归模型的HIFU治疗过程中变性生物组织识别
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018130
Bei Liu, Xian Zhang
{"title":"Identification of Denatured Biological Tissues Based on Improved Variational Mode Decomposition and Autoregressive Model during HIFU Treatment","authors":"Bei Liu, Xian Zhang","doi":"10.32604/cmes.2022.018130","DOIUrl":"https://doi.org/10.32604/cmes.2022.018130","url":null,"abstract":"During high-intensity focused ultrasound (HIFU) treatment, the accurate identification of denatured biological tissue is an important practical problem. In this paper, a novel method based on the improved variational mode decomposition (IVMD) and autoregressive (AR) model was proposed, which identified denatured biological tissue according to the characteristics of ultrasonic scattered echo signals during HIFU treatment. Firstly, the IVMD method was proposed to solve the problem that the VMD reconstruction signal still has noise due to the limited number of intrinsic mode functions (IMF). The ultrasonic scattered echo signals were reconstructed by the IVMD to achieve denoising. Then, the AR model was introduced to improve the recognition rate of denatured biological tissues. The AR model order parameter was determined by the Akaike information criterion (AIC) and the characteristics of the AR coefficients were extracted. Finally, the optimal characteristics of the AR coefficients were selected according to the results of receiver operating characteristic (ROC). The experiments showed that the signal-to-noise ratio (SNR) and root mean square error (RMSE) of the reconstructed signal obtained by IVMD was better than those obtained by variational mode decomposition (VMD). The IVMD-AR method was applied to the actual ultrasonic scattered echo signals during HIFU treatment, and the support vector machine (SVM) was used to identify the denatured biological tissue. The results show that compared with sample entropy, information entropy, and energy methods, the proposed IVMD-AR method can more effectively identify denatured biological tissue. The recognition rate of denatured biological tissue was higher, up to 93.0%.","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"17 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81381301","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 Improved Gorilla Troops Optimizer Based on Lens Opposition-Based Learning and Adaptive β-Hill Climbing for Global Optimization 基于镜头对立学习和自适应β爬坡全局优化的改进大猩猩部队优化器
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019198
Yaning Xiao, Xue Sun, Yanling Guo, Sanping Li, Yapeng Zhang, Yangwei Wang
{"title":"An Improved Gorilla Troops Optimizer Based on Lens Opposition-Based Learning and Adaptive β-Hill Climbing for Global Optimization","authors":"Yaning Xiao, Xue Sun, Yanling Guo, Sanping Li, Yapeng Zhang, Yangwei Wang","doi":"10.32604/cmes.2022.019198","DOIUrl":"https://doi.org/10.32604/cmes.2022.019198","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"17 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90888969","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: 20
Stability Analysis of Predator-Prey System with Consuming Resource and Disease in Predator Species 具有资源消耗和捕食物种疾病的捕食-食饵系统稳定性分析
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019440
Asad Ejaz, Y. Nawaz, Muhammad Shoaib Arif, Daoud S. Mashat, K. Abodayeh
{"title":"Stability Analysis of Predator-Prey System with Consuming Resource and Disease in Predator Species","authors":"Asad Ejaz, Y. Nawaz, Muhammad Shoaib Arif, Daoud S. Mashat, K. Abodayeh","doi":"10.32604/cmes.2022.019440","DOIUrl":"https://doi.org/10.32604/cmes.2022.019440","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"240 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73063044","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
A Numerical Modelling Method of Fractured Reservoirs with Embedded Meshes and Topological Fracture Projection Configurations 基于嵌入网格和拓扑裂缝投影构型的裂缝性储层数值模拟方法
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018879
Xiang Rao, Yina Liu
{"title":"A Numerical Modelling Method of Fractured Reservoirs with Embedded Meshes and Topological Fracture Projection Configurations","authors":"Xiang Rao, Yina Liu","doi":"10.32604/cmes.2022.018879","DOIUrl":"https://doi.org/10.32604/cmes.2022.018879","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"92 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75380008","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: 9
The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of theWind Power and Photovoltaic Energy 风电和光伏发电预测和发电调查中深度学习模型的隐层拓扑分析
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019245
Da Xu, Haijian Shao, X. Deng, Xia Wang
{"title":"The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of theWind Power and Photovoltaic Energy","authors":"Da Xu, Haijian Shao, X. Deng, Xia Wang","doi":"10.32604/cmes.2022.019245","DOIUrl":"https://doi.org/10.32604/cmes.2022.019245","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":"80827784","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
Discussion of the Fluid Acceleration Quality of a Ducted Propulsion System on the Propulsive Performance 导管推进系统流体加速度特性对推进性能的影响
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.016212
J. Kao, Y. Liao
{"title":"Discussion of the Fluid Acceleration Quality of a Ducted Propulsion System on the Propulsive Performance","authors":"J. Kao, Y. Liao","doi":"10.32604/cmes.2022.016212","DOIUrl":"https://doi.org/10.32604/cmes.2022.016212","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"12 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90409379","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
Deep Learning-Based Algorithm for Multi-Type Defects Detection in Solar Cells with Aerial EL Images for Photovoltaic Plants 基于深度学习的太阳能电池航空EL图像多类型缺陷检测算法
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018313
Wuqin Tang, Qiang Yang, W. Yan
{"title":"Deep Learning-Based Algorithm for Multi-Type Defects Detection in Solar Cells with Aerial EL Images for Photovoltaic Plants","authors":"Wuqin Tang, Qiang Yang, W. Yan","doi":"10.32604/cmes.2022.018313","DOIUrl":"https://doi.org/10.32604/cmes.2022.018313","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"39 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86537068","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: 7
A Fast Element-Free Galerkin Method for 3D Elasticity Problems 三维弹性问题的快速无单元伽辽金法
IF 2.4 4区 工程技术
Cmes-computer Modeling in Engineering & Sciences Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019828
Z. Meng, Ya-Nan Fang, Yumin Cheng
{"title":"A Fast Element-Free Galerkin Method for 3D Elasticity Problems","authors":"Z. Meng, Ya-Nan Fang, Yumin Cheng","doi":"10.32604/cmes.2022.019828","DOIUrl":"https://doi.org/10.32604/cmes.2022.019828","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"29 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88527541","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
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