Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Dong Xiaohu"'
Publikováno v:
Youqi dizhi yu caishoulu, Vol 30, Iss 6, Pp 122-128 (2023)
The effect of the thermal composite fluid remaining in the reservoirs on the rheological properties of the plugging agent particle solution is still unclear at the late thermal composite development stage of the heavy oil reservoirs. Therefore， it
Externí odkaz:
https://doaj.org/article/8dee0288fed7462390ac3516e9ae5e4d
Autor:
Liu Yishan, Zu Lin, Sheng An, Hou Yanan, Liu Yuqi, Tian Changbing, Dong Xiaohu, Lei Zhengdong
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Based on the tight oil reservoir conditions of Lucaogou Formation in Jimusar Sag, Xinjiang, this paper conducts a full-scale characterization experiment of pore structure and designs the optimization numerical simulation of the development scheme bas
Externí odkaz:
https://doaj.org/article/0bfa3c74cb114401a77b2a6dbe1985eb
As a fundamental operation in modern machine vision models, feature upsampling has been widely used and investigated in the literatures. An ideal upsampling operation should be lightweight, with low computational complexity. That is, it can not only
Externí odkaz:
http://arxiv.org/abs/2410.22139
Publikováno v:
E3S Web of Conferences, Vol 300, p 01011 (2021)
Defects such as insulator, pins, and counterweight in highvoltage transmission lines affect the stability of the power system. The small targets such as pins in the unmanned aerial vehicle (UAV) inspection images of transmission lines occupy a small
Externí odkaz:
https://doaj.org/article/068e624e96554c6c99ea831f61291f5e
Publikováno v:
In Geoenergy Science and Engineering December 2024 243
Electrical conductivity is an inherent property of a hydrophobic porous media (HPM) and has critical applications. This research aims to provide a solution for predicting the electrical conductivity of nanoscale HPM with heterogeneous pore structure.
Externí odkaz:
http://arxiv.org/abs/2105.13475
To have a better understanding and usage of Convolution Neural Networks (CNNs), the visualization and interpretation of CNNs has attracted increasing attention in recent years. In particular, several Class Activation Mapping (CAM) methods have been p
Externí odkaz:
http://arxiv.org/abs/2008.02312
Autor:
Lu, Ning a, b, c, Dong, Xiaohu a, b, ∗, Liu, Huiqing a, b, Chen, Zhangxin a, b, c, ∗∗, Xu, Wenjing d, Zeng, Deshang a, b
Publikováno v:
In Energy 1 January 2024 286
Publikováno v:
In International Journal of Biological Macromolecules 31 July 2023 244