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Titlebook: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6; Proceedings of the 4 Dario Di Maio,Javad Baqersad Conference proceedi

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發(fā)表于 2025-3-21 17:42:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6
副標題Proceedings of the 4
編輯Dario Di Maio,Javad Baqersad
視頻videohttp://file.papertrans.cn/832/831829/831829.mp4
叢書名稱Conference Proceedings of the Society for Experimental Mechanics Series
圖書封面Titlebook: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6; Proceedings of the 4 Dario Di Maio,Javad Baqersad Conference proceedi
描述.Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 40.th.?IMAC, A Conference and Exposition on Structural Dynamics, 2022,?.the sixth volume of nine from the Conference brings together contributions to this important area of research and engineering.??The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring, including papers on:.Novel Techniques.Optical Methods,.Scanning LDV Methods.Photogrammetry & DIC.Rotating Machinery.
出版日期Conference proceedings 2023
關(guān)鍵詞Optical Methods; sRotating Machinery; LDV Methods; Scanning Methods; Society for Experimental Mechanics;
版次1
doihttps://doi.org/10.1007/978-3-031-04098-6
isbn_softcover978-3-031-04100-6
isbn_ebook978-3-031-04098-6Series ISSN 2191-5644 Series E-ISSN 2191-5652
issn_series 2191-5644
copyrightThe Society for Experimental Mechanics, Inc 2023
The information of publication is updating

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nd chronic stages which could be explained by the great changes in microenvironment in this necrosis stage. Analyses based on microRNomics level showed that more E-CKs one miRNA regulated, the more important role it played in stroke related processes. Similarly, analyses on proteomics level showed t
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Alex Binder,Conner Ozatalar,Kendyl Wright,Phillip Cornwell,Nicholas Lievenintervals refer to the RR intervals of sinus beats), standard deviation of the 5-mins average NN intervals (SDANN), percentage of successive NN intervals greater than 50?ms (PNN50), root mean square of differences between adjacent RR intervals (RMSSD)], frequency domain parameters [high frequency co
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Nicholas A. Valente,Celso T. do Cabo,Zhu Mao,Christopher Niezreckily 41 indicators as the final input of the prediction model were extracted through feature extraction method. The experimental results show that C5 decision tree model outperform C&RT, CHDID, KNN, Logistic, SVM and Random Forest in five different performance indicators. Moreover, worst-case status a
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Sean Detwiler,Erik Barbosa,Kristen Steudel,Jeffery Tippmann,Christian Ward,Brian Westty and efficiency of the proposed method. The average accuracy attains 97.46%, as well as the average false detection rate and omission ratio are 3.41% and 1.37% respectively, which implies that the proposed method does a good job in identifying PVC automatically.
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Sean Collier,Tyler Darepitals. Information systems in ambulatory nursing organizations and medical offices are even less complex and may comprise an even smaller number of application systems. Nevertheless, systematic management of the specific information systems is still needed at least to some extent in order to respon
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Peter Meyerhofer,Andre Green,Alessandro Cattaneo,David Mascare?asards support one or more aspects of interoperability..Integrating application systems leads to integrated health information systems. Data integration is achieved when data that have been recorded once in one application system are made available in other application systems. Semantic integration is
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