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Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering最新文献

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Research Landscape, Emerging Trends and New Developments in Data Warehouse: A Scientometric Analysis (1985 - 2021) 数据仓库的研究前景、新兴趋势和新发展:科学计量学分析(1985 - 2021)
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.019
{"title":"Research Landscape, Emerging Trends and New Developments in Data Warehouse: A Scientometric Analysis (1985 - 2021)","authors":"","doi":"10.18178/wcse.2022.06.019","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.019","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115242542","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
Surface Defect Detection of Components Based on SE-YOLOv5 基于SE-YOLOv5的零件表面缺陷检测
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.027
{"title":"Surface Defect Detection of Components Based on SE-YOLOv5","authors":"","doi":"10.18178/wcse.2022.06.027","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.027","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115250916","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
Mathematical Expression Character Recognition Based on Object Detection 基于目标检测的数学表达式字符识别
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.030
{"title":"Mathematical Expression Character Recognition Based on Object Detection","authors":"","doi":"10.18178/wcse.2022.06.030","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.030","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359215","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
Characterization of Urban Road Traffic Accidents based on Data Mining 基于数据挖掘的城市道路交通事故表征
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.018
{"title":"Characterization of Urban Road Traffic Accidents based on Data Mining","authors":"","doi":"10.18178/wcse.2022.06.018","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.018","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126766280","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
Design and Implementation of Mobile Surveillance System 移动监控系统的设计与实现
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.004
{"title":"Design and Implementation of Mobile Surveillance System","authors":"","doi":"10.18178/wcse.2022.06.004","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.004","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129809","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
Financial Risk Early Warning Model of Industrial Listed Enterprises Based on Deep Learning 基于深度学习的工业上市企业财务风险预警模型
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.001
{"title":"Financial Risk Early Warning Model of Industrial Listed Enterprises Based on Deep Learning","authors":"","doi":"10.18178/wcse.2022.06.001","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.001","url":null,"abstract":". In this paper, the public financial indicators of 156 listed industrial enterprises in China Stock Market in T-2 year(2017) are used to predict the company financial status in T year(2019). Based on the feature extraction of Random Forest, a double LSTM financial risk early warning model is built through Keras framework. Machine learning algorithms including LR, SVM, KNN and NBC are set as baseline models. To reduce the influence of unbalanced data on the model, the G-mean is introduced as the comprehensive measure of the model. The result shows that G-mean of RF-LSTM on the test set is much higher than that of machine learning model which verifies the practicability of the RF-LSTM model.","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129359090","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
Application of a Log Optimization Algorithm in the Earthquake Precursor System Data Synchronization 日志优化算法在地震前兆系统数据同步中的应用
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.015
{"title":"Application of a Log Optimization Algorithm in the Earthquake Precursor System Data Synchronization","authors":"","doi":"10.18178/wcse.2022.06.015","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.015","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699349","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
Research on Topic Concentration of a Text from the Perspective of Readability Research 可读性研究视角下的语篇话题集中研究
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.037
{"title":"Research on Topic Concentration of a Text from the Perspective of Readability Research","authors":"","doi":"10.18178/wcse.2022.06.037","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.037","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125830565","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
Short-Term Load Forecasting Using a Parallel CNN-BPNN Prediction Model with COVID-19 Pandemic Restriction as an Added Input Parameter and ReLU Activation Function 以新冠肺炎大流行限制为输入参数并加入ReLU激活函数的并行CNN-BPNN预测模型短期负荷预测
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.022
S. M. Velasquez, C. Ostia, Jr.
{"title":"Short-Term Load Forecasting Using a Parallel CNN-BPNN Prediction Model with COVID-19 Pandemic Restriction as an Added Input Parameter and ReLU Activation Function","authors":"S. M. Velasquez, C. Ostia, Jr.","doi":"10.18178/wcse.2022.06.022","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.022","url":null,"abstract":"Short-term load forecasting provides a vital tool for the power system. This study delved into applying a hybridized machine learning algorithm to improve load forecasting accuracy. It aims to investigate the accuracy of the parallel CNN-BPNN prediction model in short-term load forecasting with Philippine pandemic restriction as an added parameter and a ReLU activation function. The CNN, BPNN, and the proposed parallel CNN-BPNN models were implemented using Python. They were trained, validated, and tested using the input parameters such as historical power demand, day of weeks/ Holidays, meteorological data such as temperature, wind speed, humidity, and COVID-19 pandemic restriction. The accuracy of the three models was tested using the MAPE. Results showed that the proposed model achieved the lowest MAPE of 3.52 %, lower than that of the CNN, 4.62%, and BPNN, 3.98%. Furthermore, Pearson correlation analysis showed that the relationship between electricity usage and mobility constraints is moderately correlated with a correlation value of -0.57. © 2022 WCSE. All Rights Reserved.","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131534978","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
Research on Virtual Environment of Improving Young Teachers' Guidance Ability Based on Metaverse 基于Metaverse提高青年教师指导能力的虚拟环境研究
Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering Pub Date : 1900-01-01 DOI: 10.18178/wcse.2022.06.003
{"title":"Research on Virtual Environment of Improving Young Teachers' Guidance Ability Based on Metaverse","authors":"","doi":"10.18178/wcse.2022.06.003","DOIUrl":"https://doi.org/10.18178/wcse.2022.06.003","url":null,"abstract":"","PeriodicalId":415226,"journal":{"name":"Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097807","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
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