Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Qingshan Ren"'
Publikováno v:
Geofluids, Vol 2022 (2022)
During coal mining, the mechanical and deformation behavior of the overburden is affected by water and stress. Therefore, it is of great significance to study the mechanical behavior of the surrounding rock under the action of hydraulic coupling. For
Externí odkaz:
https://doaj.org/article/0ac969d760904b448527a9595e57880e
Publikováno v:
Geofluids, Vol 2022 (2022)
Floor failure in deep coal mining above confined aquifers with high-water pressure may induce floor water inrush disasters. Considering the effects of mining stress and nonuniformly distributed water pressure, a mechanical calculation model of the is
Externí odkaz:
https://doaj.org/article/d8322d9fe5d047509976147fc4031202
Publikováno v:
Geofluids, Vol 2021 (2021)
The extraction of low-permeability coalbed methane (CBM) has the dual significance of energy utilization and safe mining. Understanding hydraulic fracturing mechanism is vital to successful development of CBM. Therefore, it is important to improve th
Externí odkaz:
https://doaj.org/article/8b7502328af24743ad8faeb82aad4783
Publikováno v:
Energies, Vol 15, Iss 3, p 1187 (2022)
Water inrush disasters from the coal seam floor occur frequently due to the high water pressure of the Ordovician limestone aquifer, multiple aquifers and strong mining disturbance. We presented a model of water-resisting key strata (WRKS) to investi
Externí odkaz:
https://doaj.org/article/965961e06e6043489ba7c88ad3f16182
Publikováno v:
Food and Bioproducts Processing. 138:70-85
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b207c16a1e0bc1ded109c4c28b34b17
https://doi.org/10.1016/j.fbp.2023.01.004
https://doi.org/10.1016/j.fbp.2023.01.004
Autor:
Ting Guo, Kui Fang, Yineng Chen, Xiaoxuan Chen, Zhuoyang Zou, Xinghui Zhu, Cheng Li, Qingshan Ren
Publikováno v:
Neural Computing and Applications. 34:9499-9510
Wireless sensor network (WSNs) technology and Internet technology penetrate and extend each other. It is a good way for physical changes of objects, state recognition and data collection, and becomes an important source of network data in big data. C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56bcf1863c6ff2738f25b249c1c40aeb
https://doi.org/10.1007/s00521-021-06443-3
https://doi.org/10.1007/s00521-021-06443-3
Publikováno v:
Computers and Geotechnics. 152:104992
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9879e7fac09e48efb59c5020b9a1cd63
https://doi.org/10.1016/j.compgeo.2022.104992
https://doi.org/10.1016/j.compgeo.2022.104992
Publikováno v:
BMSB
The sparse LiDAR point clouds become more and more popular in various applications, e.g., the autonomous driving. However, for this type of data, there exists much under-explored space in the corresponding compression framework proposed by MPEG, i.e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2c920038f5852514fdf29550ac96c11
https://doi.org/10.1109/bmsb53066.2021.9547021
https://doi.org/10.1109/bmsb53066.2021.9547021
Publikováno v:
Geofluids, Vol 2021 (2021)
The extraction of low-permeability coalbed methane (CBM) has the dual significance of energy utilization and safe mining. Understanding hydraulic fracturing mechanism is vital to successful development of CBM. Therefore, it is important to improve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5260cfeb04aec09cf5a6b03429a8131e
Autor:
Yineng Chen, Ming Li, Xinghui Zhu, Kui Fang, Qingshan Ren, Ting Guo, Xiaoxuan Chen, Cheng Li, Zhuoyang Zou, Yuechao Deng
Publikováno v:
Information Processing & Management. 59:102884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e95dffb9eb2a632da1bea77cb61530e
https://doi.org/10.1016/j.ipm.2022.102884
https://doi.org/10.1016/j.ipm.2022.102884