Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Haibin Chang"'
Autor:
Yao Yao, Changxing Liu, Yu Zhang, Yang Lin, Tao Chen, Jiatao Xie, Haibin Chang, Yanping Fu, Jiasen Cheng, Bo Li, Xiao Yu, Xueliang Lyu, Yanbo Feng, Xuefeng Bian, Daohong Jiang
Publikováno v:
Plants, Vol 13, Iss 6, p 912 (2024)
The seed microbiota is an important component given by nature to plants, protecting seeds from damage by other organisms and abiotic stress. However, little is known about the dynamic changes and potential functions of the seed microbiota during seed
Externí odkaz:
https://doaj.org/article/42240ba3fbe24ebabf16d53155f7f119
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/3be4b5504441469594d7c08ac0b62215
Publikováno v:
Sustainability; Volume 15; Issue 10; Pages: 8025
Improper fertilization has become an essential factor limiting peanut yield and quality improvement. To improve peanut yield and quality, the effects of different fertilizer additives on peanut growth and yield were investigated. In this work, the ef
Autor:
Shenhua Yang, Haibin Chang, Yongzhen Peng, Shujun Zhang, Xiaoyu Han, Shihao Sun, Jinjin Liu, Liang Zhang
Publikováno v:
Water Environment Research. 95
Publikováno v:
Renewable Energy, 211
To maximize the economic benefits of geothermal energy production, it is essential to optimize geothermal reservoir management strategies, in which geologic uncertainty should be considered. In this work, we propose a closed-loop optimization framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d6253952054616c0379762fa6605af2
Publikováno v:
SPE Journal. 27:1176-1194
Summary A theory-guided neural network (TgNN) is proposed as a prediction model for oil/water phase flow in this paper. The model is driven by not only labeled data, but also scientific theories, including governing equations, boundary and initial co
Autor:
Ying Cui, Haibin Chang
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
More and more image materials are used in various industries these days. Therefore, how to collect useful images from a large set has become an urgent priority. Convolutional neural networks (CNN) have achieved good results in certain image classific
Autor:
Yakun Wang, Qiuru Zhang, Liangsheng Shi, Haibin Chang, Wenxiang Song, Lin Lin, Xiaolong Hu, Xiaotao Hu
Publikováno v:
Journal of Hydrology. 622:129707
Autor:
Tian Tian1 mxnnana369@sina.com, Haibin Chang1
Publikováno v:
Journal of Coastal Research. 2019 Special Issue1, Vol. 94, p169-172. 4p.
Autor:
Haibin Chang, Dongxiao Zhang
Publikováno v:
Journal of Computational Physics. 393:337-350
With the advent of modern data collection and storage technologies, data-driven approaches have been developed for discovering the governing partial differential equations (PDE) of physical problems. However, in the extant works the model parameters