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Titlebook: Optical Fiber Sensing and Structural Health Monitoring Technology; Yanliang Du,Baochen Sun,Wentao Zhang Book 2019 Huazhong University of S

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發(fā)表于 2025-3-21 17:28:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optical Fiber Sensing and Structural Health Monitoring Technology
編輯Yanliang Du,Baochen Sun,Wentao Zhang
視頻videohttp://file.papertrans.cn/703/702548/702548.mp4
概述Provides a systematic overview of recent research advances in structural health monitoring.Includes a number of sample applications from industrial projects.Features contributions by prominent researc
圖書封面Titlebook: Optical Fiber Sensing and Structural Health Monitoring Technology;  Yanliang Du,Baochen Sun,Wentao Zhang Book 2019 Huazhong University of S
描述.This book focuses on optical fiber sensing and structural health monitoring technologies. It provides detailed information on the basic theory of F-P optical fiber sensors, fiber Bragg grating sensors, fiber laser grating sensors and fully distributed optical fiber sensors. Drawing on the authors’ research achievements and many years of practical experience in the field of engineering structure health monitoring, the book elaborates on the structural principle, design and manufacture of optical fiber sensors and monitoring technologies, and briefly describes advances made with regard to multiple engineering structures..
出版日期Book 2019
關(guān)鍵詞Smart materials; Structural health; Optical fiber; Strain sensor; Intelligent detection
版次1
doihttps://doi.org/10.1007/978-981-13-2865-7
isbn_ebook978-981-13-2865-7
copyrightHuazhong University of Science and Technology Press, Wuhan and Springer Nature Singapore Pte Ltd. 20
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發(fā)表于 2025-3-21 23:09:36 | 只看該作者
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發(fā)表于 2025-3-22 00:40:05 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhangsearch on group recommendation, which focuses on the issue of recommending items to a group of users. The existing methods on addressing the problem of grouping users and making recommendations for the formed groups simultaneously, however, often suffer from two defects. The first one is that they s
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發(fā)表于 2025-3-22 12:42:11 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhangreference attributes, etc. It’s a powerful data support of precision marketing. Existing methods mainly study network behavior, personal preferences and post texts to build user profile. Through our data analysis of micro-blog, we find that females show more positive and have richer sentiments than
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發(fā)表于 2025-3-22 17:47:20 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhangsearch on group recommendation, which focuses on the issue of recommending items to a group of users. The existing methods on addressing the problem of grouping users and making recommendations for the formed groups simultaneously, however, often suffer from two defects. The first one is that they s
8#
發(fā)表于 2025-3-23 00:05:45 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhangrevalence of big data applications, vast unstructured and semi-structured data are generated, deeply challenging the relational model used in RDBMSs. For this reason, a wide spectrum of NoSQL databases are developed for managing unstructured, semi-structured or structured data. For example, graph da
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發(fā)表于 2025-3-23 04:03:47 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhang and applications in both academic and industrial communities. However, the scalability of the conventional recommendation algorithms has been challenged by the exponential growth of the resource data size, and the increasing time span of the data also raises new requirements on the time-awareness o
10#
發(fā)表于 2025-3-23 06:42:32 | 只看該作者
Yanliang Du,Baochen Sun,Jianzhi Li,Wentao Zhang and applications in both academic and industrial communities. However, the scalability of the conventional recommendation algorithms has been challenged by the exponential growth of the resource data size, and the increasing time span of the data also raises new requirements on the time-awareness o
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