Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zixiao He"'
Autor:
Zheng HUANG, Yongqiang ZHOU, Zixiao HE, Ming LI, Tao YANG, Su WANG, Qiang LI, Ying ZHAO, Shuai YIN
Publikováno v:
Shiyou shiyan dizhi, Vol 46, Iss 4, Pp 845-854 (2024)
To elucidate the development patterns and influencing factors of natural fractures in deep-buried tight oil reservoirs, a comprehensive evaluation was conducted using a large amount of core samples, thin section, physical property data, imaging and c
Externí odkaz:
https://doaj.org/article/f352640610394800b4bc0bb6d03ad345
Publikováno v:
Shiyou shiyan dizhi, Vol 44, Iss 6, Pp 971-980 (2022)
The Weibei Oil Field of the Ordos Basin has reservoirs of ultra-low permeability with small pores and complex pore throat structures. Imbibition is obvious at the early stage of water injection, which improved the effect of oilfield development. Howe
Externí odkaz:
https://doaj.org/article/64a00ab58f33484da42394ab2d2750e6
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Sediment dynamics under floods are critical for estuarine morphological evolution. A two-dimensional coupled hydrodynamic/sediment transport numerical modeling was adapted to investigate the flood-driven jet structure and the resultant sedimentary re
Externí odkaz:
https://doaj.org/article/662ea5595b9b434ab479dc2bfad1d89e
Autor:
Jintang Ou, Haoyan Dong, Liangwen Jia, Xiangxin Luo, Zixiao He, Kanglin Chen, Jing Liu, Yitong Lin, Mingdong Yu, Mingen Liang
Publikováno v:
Acta Oceanologica Sinica. 41:51-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5331f2dd07a08a142146f797953cda26
https://doi.org/10.1007/s13131-021-1874-3
https://doi.org/10.1007/s13131-021-1874-3
Publikováno v:
Annals of Operations Research
Green Belt and Road development has gradually become a global consensus, and the quantitative assessment of the green development level constitutes the basis for building a green Belt and Road high-quality development path in practice. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ea33018901c38327914c37fbf95d5e
http://europepmc.org/articles/PMC8639405
http://europepmc.org/articles/PMC8639405
Publikováno v:
6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85cb0d15930f2d9ef78b87798e59e54
https://doi.org/10.1117/12.2653425
https://doi.org/10.1117/12.2653425
Publikováno v:
Marine Geology. 456:106972
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0bd212deeb7a5421c3cfa6a8a1c96d2
https://doi.org/10.1016/j.margeo.2022.106972
https://doi.org/10.1016/j.margeo.2022.106972
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Electrocardiogram (ECG) signal is one of the most important methods for diagnosing cardiovascular diseases but is usually affected by noises. Denoising is therefore necessary before further analysis. Deep learning-related methods have been applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fda07538eb32f900e06cd34a96a5210
https://pubmed.ncbi.nlm.nih.gov/34891406
https://pubmed.ncbi.nlm.nih.gov/34891406
Publikováno v:
Marine Geology. 450:106856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a1eb95ac667ee67ebd6a90e3d3ba53
https://doi.org/10.1016/j.margeo.2022.106856
https://doi.org/10.1016/j.margeo.2022.106856
Publikováno v:
ISBI
Obtaining accurately annotated medical images for training segmentation models is expensive, time-consuming and labor-intensive. Although a variety of approaches based on weak annotations like points, scribbles and bounding boxes have been designed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f52bb9b33deade78c2540383114d8649
https://doi.org/10.1109/isbi48211.2021.9433883
https://doi.org/10.1109/isbi48211.2021.9433883