Zobrazeno 1 - 10
of 1 469
pro vyhledávání: '"Teng, Feng"'
Arch dam point cloud segmentation based on deep feature learning and normal vector data optimization
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Separating the dam body, spillway, and other structures from the point cloud in the dam area is an important step in dam deformation monitoring. Manual segmentation is time consuming and inaccurate. This study proposes a point cloud segmenta
Externí odkaz:
https://doaj.org/article/93414ab7bf3c44c59e9693b96b31dec0
Autor:
Teng, Feng
Publikováno v:
Brazilian English Language Teaching Journal, Vol 6, Iss 1, Pp 66-80 (2015)
Forty-six students majoring in business English volunteered to take part in an extensive reading program. The learners were divided into two groups: EG, the experimental group, received instruction in methods of extensive reading plus explicit output
Externí odkaz:
https://doaj.org/article/b307652fa0b34537ac0bd43b7a13eea5
Autor:
Chongwei Chen, Yue Li, Teng Feng, Xinping Chen, Chengwei Li, Lu Li, Mengbo Zhu, Yaqiong Chang, Shaowei Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Osteoblasts and osteoclasts play an important role in maintaining the structural integrity of bone tissue, in which osteoclasts degrade bone structure and osteoblasts restore bone tissue. The imbalance of osteoblast and osteoclast function c
Externí odkaz:
https://doaj.org/article/efb5806d00e94209848edd83952e5bd9
Autor:
Zibei Gao, Lei Yan, Jufeng Meng, Zhengkai Lu, Kaixin Ge, Zhen Jiang, Teng Feng, Haopeng Wang, Chen Liu, Juan Tang, Hui Zhang
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/a730827c350741da849c0cbbc5ac500a
Autor:
Teng Feng, Yuemin Yue, Kelin Wang, Hongsong Chen, Lu Zhai, Xianzhao Liu, Yuanqi Chen, Yong Zhang
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 2, Pp 446-454 (2024)
Heterogeneous karst surfaces exerted scaling effects whereby specific runoff decrease with increasing area. The existing RUSLE-L equations are limited by the default implicit assumption that the surface-runoff intensity is constant at any slope lengt
Externí odkaz:
https://doaj.org/article/5598ddd4617b4527b8f72dbb6a096411
Publikováno v:
In Journal of Power Sources 30 November 2024 621
Publikováno v:
In Surfaces and Interfaces November 2024 54
Publikováno v:
In Surfaces and Interfaces November 2024 54
Publikováno v:
In Composites Part A October 2024 185
Autor:
Li, Yuting, Song, Jiaming, Yang, Juanjuan, Wang, Zhuo, Ban, Guoshuai, Gao, Huaxiong, Ye, Honggang, Teng, Feng, Zhao, Xin
Publikováno v:
In Journal of Alloys and Compounds 5 January 2025 1010