Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Beichen Lu"'
Publikováno v:
Energies, Vol 17, Iss 17, p 4310 (2024)
With the progress of research on ocean thermal energy conversion, the stabI have checked and revised all. le operation of ocean thermal energy conversion experiments has become a problem that cannot be ignored. The control foundation for stable opera
Externí odkaz:
https://doaj.org/article/11a11e74eb0e468cbeaef086bc9faddb
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 463 (2024)
In recent years, clean and renewable energy sources have received much attention to balance the contradiction between resource needs and environmental sustainability. Among them, ocean thermal energy conversion (OTEC), which consists of surface warm
Externí odkaz:
https://doaj.org/article/61c3ec10f0494af2a06f5fee4d6e815e
Autor:
Gaoxiang Chen, Jintao Ru, Yilin Zhou, Islem Rekik, Zhifang Pan, Xiaoming Liu, Yezhi Lin, Beichen Lu, Jialin Shi
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118568- (2021)
The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a wide spectrum of brain diseases. In recent years, segmentation methods based on deep learning have gained unprecedented popularity, leveraging a large amount
Externí odkaz:
https://doaj.org/article/78fcf14c11e74d83b74329fdac359b61
Autor:
Jintao Ru, Beichen Lu, Buran Chen, Jialin Shi, Gaoxiang Chen, Meihao Wang, Zhifang Pan, Yezhi Lin, Zhihong Gao, Jiejie Zhou, Xiaoming Liu, Chen Zhang
Publikováno v:
Computers in Biology and Medicine. 159:106884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7455d96d2cf4cce9afbeef7f13ed4f4e
https://doi.org/10.1016/j.compbiomed.2023.106884
https://doi.org/10.1016/j.compbiomed.2023.106884
Autor:
Jintao Ru, Beichen Lu, Buran Chen, Jialin Shi, Gaoxiang Chen, Meihao Wang, Zhifang Pan, Yezhi Lin, Jiejie Zhou, Xiaoming Liu, Chen Zhang
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::440050527ec52f858c75d2b517d4aa09
https://doi.org/10.2139/ssrn.4137158
https://doi.org/10.2139/ssrn.4137158
Autor:
Islem Rekik, Beichen Lu, Jintao Ru, Yezhi Lin, Xiaoming Liu, Yilin Zhou, Gaoxiang Chen, Zhifang Pan, Jialin Shi
Publikováno v:
NeuroImage, Vol 244, Iss, Pp 118568-(2021)
The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a wide spectrum of brain diseases. In recent years, segmentation methods based on deep learning have gained unprecedented popularity, leveraging a large amount
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837e28becc7d52b18547710370fe52d3
https://doi.org/10.1016/j.neuroimage.2021.118568
https://doi.org/10.1016/j.neuroimage.2021.118568