Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Keliang Ding"'
Publikováno v:
IEEE Access, Vol 11, Pp 50547-50559 (2023)
Gesture recognition has always been one of the important research directions in the field of computer vision. The dynamic gesture has the problems of complex backgrounds and many interference factors. The gesture recognition model based on deep learn
Externí odkaz:
https://doaj.org/article/045b44268a284849b095614829b54d92
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227901 (2020)
To address the problems of high overflow rate of pipe network inspection well and low drainage efficiency, a rainwater control optimization design approach based on a self-organizing feature map neural network model (SOFM) was proposed in this paper.
Externí odkaz:
https://doaj.org/article/7cc33abe3da04cb4a3c06d6098fa3e24
Autor:
Shunying Hong, Xin Zhou, Kui Zhang, Guojie Meng, Yanfang Dong, Xiaoning Su, Lei Zhang, Shuai Li, Keliang Ding
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1400 (2018)
Seismogenic fault geometry, especially for a blind fault, is usually difficult to derive, based only on the distribution of aftershocks and interference fringes of Interferometric Synthetic Aperture Radar (InSAR). To better constrain the fault geomet
Externí odkaz:
https://doaj.org/article/82d74bf5a5794789995c7816cd389ff1
Publikováno v:
Scientific Reports; 1/9/2024, Vol. 14 Issue 1, p1-17, 17p
Publikováno v:
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b87fdfbdb6d193e2f39adc739849553b
https://doi.org/10.1117/12.2631012
https://doi.org/10.1117/12.2631012
Publikováno v:
Journal of Physics: Conference Series. 2170:012018
When designing a multi-vision stereo vision network, the camera’s positional information has a critical impact on the measurement accuracy. In order to solve the problem of optimizing the camera pose during network design, in this paper, we split t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::388cd31ad99fae36c128a8517d5de44b
https://doi.org/10.1088/1742-6596/2170/1/012018
https://doi.org/10.1088/1742-6596/2170/1/012018
Autor:
Guojie Meng, Shunying Hong, Xin Zhou, Keliang Ding, Kui Zhang, Lei Zhang, Shuai Li, Xiaoning Su, Yanfang Dong
Publikováno v:
Remote Sensing; Volume 10; Issue 9; Pages: 1400
Remote Sensing, Vol 10, Iss 9, p 1400 (2018)
Remote Sensing, Vol 10, Iss 9, p 1400 (2018)
Seismogenic fault geometry, especially for a blind fault, is usually difficult to derive, based only on the distribution of aftershocks and interference fringes of Interferometric Synthetic Aperture Radar (InSAR). To better constrain the fault geomet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8e40a3c356f27313bf3ad1d3b9e040a
Publikováno v:
2010 The 2nd Conference on Environmental Science and Information Application Technology.
Water vapor and its changes directly affected the weather. It is one of key factors about severe weather formation and evolution. Accurate, and timely rainfall forecast is also important factors which increased forecast accuracy of storms, floods and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16dc1a1a4f39c821a742febbd7d91491
https://doi.org/10.1109/esiat.2010.5568487
https://doi.org/10.1109/esiat.2010.5568487