Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Dapeng QI"'
Publikováno v:
暴雨灾害, Vol 41, Iss 2, Pp 158-166 (2022)
Based on the routine upper-air and surface observations, the observational data from regional automatic weather stations, satellite images, Doppler weather radar products, we have conducted analysis on the environmental field and radar echo character
Externí odkaz:
https://doaj.org/article/1888c2442bd741ccb1a9a2e18536a18c
Publikováno v:
Sensors, Vol 14, Iss 10, Pp 19307-19328 (2014)
Cracks are an important indicator reflecting the safety status of infrastructures. This paper presents an automatic crack detection and classification methodology for subway tunnel safety monitoring. With the application of high-speed complementary m
Externí odkaz:
https://doaj.org/article/51b3d8b138f04a8f82c66613c44d401c
Publikováno v:
ACS Omega, Vol 9, Iss 39, Pp 40665-40675 (2024)
Externí odkaz:
https://doaj.org/article/9e45747c6a8d44a29b1e612b8e16eaec
Autor:
Dapeng Qi
Publikováno v:
2022 6th International Conference on Computing Methodologies and Communication (ICCMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ca11ddb69b511d81dd900caf95b96f
https://doi.org/10.1109/iccmc53470.2022.9753860
https://doi.org/10.1109/iccmc53470.2022.9753860
Autor:
Tingting Zhang, Nanmu Yang, Peng Zheng, Jiaqi Chen, Bo Meng, Yi Wang, Dapeng Qiu, Xianzhou Zhang, Feng Han, Hao Zhuang, Lu Zheng
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Neurofibromatosis type 1 (NF-1) is commonly associated with a variety of rare tumors. However, no case of multiple gastric gastrointestinal stromal tumors (GISTs) or duodenal ampulla neuroendocrine tumors (NETs) with multiple liver metastases in a pa
Externí odkaz:
https://doaj.org/article/d0b1f05332614cae9f061e9ad8177675
Autor:
Shuxun SANG, Ruiming LI, Shiqi LIU, Xiaozhi ZHOU, Bo WEI, Sijie HAN, Sijian ZHENG, Fansheng HUANG, Tong LIU, Yuejiang WANG, Shuguang YANG, Dapeng QIN, Zixin ZHOU
Publikováno v:
Meitan xuebao, Vol 49, Iss 1, Pp 563-585 (2024)
The Xinjiang Uygur Autonomous Region has presented the expected resource conditions and work foundations for a large-scale coalbed methane (CBM) exploration and development, which shows that its CBM resources below the depth of 2000 m are 7.5 trillio
Externí odkaz:
https://doaj.org/article/d03eeab69c8846978fe6d67666a06f0b
Publikováno v:
IET Renewable Power Generation, Vol 17, Iss 16, Pp 3793-3803 (2023)
Abstract Higher demand for the load‐bearing ability of supporting foundations is required if its upper wind turbine is substituted by a larger one. Presently, there is a lack of strengthening and retrofitting methods for existing wind turbine found
Externí odkaz:
https://doaj.org/article/5b0bf0ef1bed43ac92c5bf9b07f824ee
Autor:
Dapeng Qi
Publikováno v:
International Strategic Relations and China's National Security: Volume 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e59ac69dc528a35661ae8f3725673bc9
https://doi.org/10.1142/9789813230682_0001
https://doi.org/10.1142/9789813230682_0001
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 14, Iss 10, Pp 19307-19328 (2014)
Sensors
Volume 14
Issue 10
Pages 19307-19328
Sensors, Vol 14, Iss 10, Pp 19307-19328 (2014)
Sensors
Volume 14
Issue 10
Pages 19307-19328
Cracks are an important indicator reflecting the safety status of infrastructures. This paper presents an automatic crack detection and classification methodology for subway tunnel safety monitoring. With the application of high-speed complementary m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8954feb294dfbeaac7b0e47189486b3
https://doi.org/10.3390/s141019307
https://doi.org/10.3390/s141019307
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Winter wheat is one of the major food crops in China, and timely and effective early-season identification of winter wheat is crucial for crop yield estimation and food security. However, traditional winter wheat mapping is based on post-season ident
Externí odkaz:
https://doaj.org/article/28afc7c974f24d74ba33379c859051bf