Results 81 to 90 of about 4,279,288 (109)
Some of the next articles are maybe not open access.
Structural Health Monitoring, 2021
To promote the development of structural health monitoring around the world, the 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020) was initiated and organized in 2020 by the Asia-Pacific Network of Centers for ...
Y. Bao +5 more
semanticscholar +1 more source
To promote the development of structural health monitoring around the world, the 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020) was initiated and organized in 2020 by the Asia-Pacific Network of Centers for ...
Y. Bao +5 more
semanticscholar +1 more source
Optimization of sensor placement for structural health monitoring: a review
Structural Health Monitoring, 2019The deployment cost of the structural health monitoring (SHM) system is the major argument against the more widespread use of the structural health monitoring techniques.
W. Ostachowicz, R. Soman, P. Malinowski
semanticscholar +1 more source
Convolutional neural network–based data recovery method for structural health monitoring
Structural Health Monitoring, 2020In this study, a structural response recovery method using a convolutional neural network is proposed. The aim of this study is to restore missing strain structural responses when they cannot be collected due to a sensor fault, data loss, or ...
B. Oh, B. Glišić, Yousok Kim, H. Park
semanticscholar +1 more source
Structural Health Monitoring, 2021
Dealing with the problem of large volumes of high-dimensional features and detecting damage under ambient vibration are critical to structural health monitoring.
A. Entezami +4 more
semanticscholar +1 more source
Dealing with the problem of large volumes of high-dimensional features and detecting damage under ambient vibration are critical to structural health monitoring.
A. Entezami +4 more
semanticscholar +1 more source
Structural Health Monitoring, 2021
Deep learning algorithm can effectively obtain damage information using labeled samples, and has become a promising feature extraction tool for ultrasonic guided wave detection.
Bin Zhang, Xiaobin Hong, Yuan Liu
semanticscholar +1 more source
Deep learning algorithm can effectively obtain damage information using labeled samples, and has become a promising feature extraction tool for ultrasonic guided wave detection.
Bin Zhang, Xiaobin Hong, Yuan Liu
semanticscholar +1 more source
Computational methodologies for optimal sensor placement in structural health monitoring: A review
Structural Health Monitoring, 2019Structural health monitoring plays an increasingly significant role in detecting damages for large and complex structures to ensure their serviceability and sustainability.
Y. Tan, Limao Zhang
semanticscholar +1 more source
Application and recent progress of inland water monitoring using remote sensing techniques
Environmental Monitoring & Assessment, 2022Q. Cao, Gongliang Yu, Zhiyi Qiao
semanticscholar +1 more source
Environmental Monitoring & Assessment, 2021
J. Saini, M. Dutta, Gonçalo Marques
semanticscholar +1 more source
J. Saini, M. Dutta, Gonçalo Marques
semanticscholar +1 more source
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly