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II Siberian Scientific Workshop "Data Analysis Technologies with Applications" (SibDATA-2021). Proceedings of the Workshop (25 June 2021)最新文献

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Comparative analysis of the Tsarev's combined algorithm Tsarev组合算法的比较分析
M. Sadovsky, Dmitry Dokuchaev
This paper presents the combined Tsarev algorithm and its comparison with the Brute Force algorithm in terms of time performance and efficiency for problems of searching for the longest pattern in sequences . In the present study experiments were made with different types of DNA sequences such as: Candida Albicans, Candida Dublinesis and Coronavirus.
本文介绍了组合Tsarev算法,并将其与Brute Force算法在搜索序列中最长模式的时间性能和效率方面进行了比较。本研究对白色念珠菌、都柏林念珠菌和冠状病毒等不同类型的DNA序列进行了实验。
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引用次数: 0
Methods for the analysis and Interpretation of GRACE measurement data in the field of strong underwater earthquakes 水下强震场GRACE测量数据的分析与解释方法
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引用次数: 0
The photosystems I and II genes spatial structure of cyanobacteria 蓝藻光系统I和II基因的空间结构
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引用次数: 0
The photosystems I and II genes structure of chloroplasts in the triplets frequency dictionaries space 叶绿体光系统I和II基因在三联体频率字典空间中的结构
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引用次数: 0
Preprocessing of magnetic resonance imaging for the differential diagnosis of Parkinson’s disease and essential tremors using convolution neural networks of the DeepLabv3 architecture 使用DeepLabv3架构的卷积神经网络对帕金森病和原发性震颤的磁共振成像鉴别诊断进行预处理
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引用次数: 0
Approaches to data binarization for using association rules mining to the faults prediction in aluminium production process 关联规则挖掘用于铝生产过程故障预测的数据二值化方法
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引用次数: 0
NoSQL in Big Data technology 大数据技术中的NoSQL
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引用次数: 0
Detection of anode effects in aluminum production based on ensemble algorithms 基于集成算法的铝生产阳极效应检测
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引用次数: 0
Рrincipal component analysis of regional data on the functioning of industries Рrincipal工业运作区域数据的成分分析
{"title":"Рrincipal component analysis of regional data on the functioning of industries","authors":"","doi":"10.47813/sibdata-2-2021-04","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-04","url":null,"abstract":"","PeriodicalId":411596,"journal":{"name":"II Siberian Scientific Workshop \"Data Analysis Technologies with Applications\" (SibDATA-2021). Proceedings of the Workshop (25 June 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129147255","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
Fake face image detection using local and global matching based on deep learning 基于深度学习的局部和全局匹配假人脸图像检测
{"title":"Fake face image detection using local and global matching based on deep learning","authors":"","doi":"10.47813/sibdata-2-2021-20","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-20","url":null,"abstract":"","PeriodicalId":411596,"journal":{"name":"II Siberian Scientific Workshop \"Data Analysis Technologies with Applications\" (SibDATA-2021). Proceedings of the Workshop (25 June 2021)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003776","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
期刊
II Siberian Scientific Workshop "Data Analysis Technologies with Applications" (SibDATA-2021). Proceedings of the Workshop (25 June 2021)
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