Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yanlei Qiao"'
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0207063 (2018)
Trajectory data uploaded by mobile devices is growing quickly. It represents the movement of an individual or a device based on the longitude and latitude coordinates collected by GPS. The location based service has a broad application prospect in th
Externí odkaz:
https://doaj.org/article/53587a00b6a04b52bd911083f5f5da87
Publikováno v:
Structural Health Monitoring. :147592172211396
Traditional gas pipeline leak detection methods usually face challenges in that there are redundant data collected on account of the time-domain sampling theory and the valuable leakage information is hidden in the complex vibration signals. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d257be892ba97e3ae2e8ba4efc5371f6
https://doi.org/10.1177/14759217221139642
https://doi.org/10.1177/14759217221139642
Publikováno v:
Structural Health Monitoring 2017.
Aiming at the problems of natural gas pipeline leak monitoring, it proposed an intelligent pipeline leak aperture identification method combining compressed sensing (CS) and deep learning theory, which can achieved compressed sampling, adaptive featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63032f6c543dbbc262b98c2debd58581
https://doi.org/10.12783/shm2017/14172
https://doi.org/10.12783/shm2017/14172