Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yupeng Niu"'
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/cc09c79db2464841893d987b7ce7bda2
Autor:
Tao Yang, Jingjing Wei, Yongjun Xiao, Shuyang Wang, Jingxuan Tan, Yupeng Niu, Xuliang Duan, Fei Pan, Haibo Pu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionZanthoxylum bungeanum Maxim is an economically significant crop in Asia, but large-scale cultivation is often threatened by frequent diseases, leading to significant yield declines. Deep learning-based methods for crop disease recognition
Externí odkaz:
https://doaj.org/article/99c18d83cb34448bb93c7cc3eb94192e
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundBiliary atresia (BA) is a severe congenital biliary developmental abnormality threatening neonatal health. Traditional diagnostic methods rely heavily on experienced radiologists, making the process time-consuming and prone to variability.
Externí odkaz:
https://doaj.org/article/34782bac6329447d9a20605950b888fe
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Grapefruit and stem detection play a crucial role in automated grape harvesting. However, the dense arrangement of fruits in vineyards and the similarity in color between grape stems and branches pose challenges, often leading to missed or false dete
Externí odkaz:
https://doaj.org/article/46b0c978ebdc40c7bd9346bf1f6bcfd1
Autor:
Yupeng Niu, Zhenghao Li, Ziao Chen, Wenyuan Huang, Jingxuan Tan, Fa Tian, Tao Yang, Yamin Fan, Jiangshu Wei, Jiong Mu
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30373- (2024)
In the vanguard of oncological advancement, this investigation delineates the integration of deep learning paradigms to refine the screening process for Anticancer Peptides (ACPs), epitomizing a new frontier in broad-spectrum oncolytic therapeutics r
Externí odkaz:
https://doaj.org/article/2bf1bb47036c4baf98aa73c753f195a7
Publikováno v:
PLoS ONE, Vol 18, Iss 7, p e0287778 (2023)
Real-time, rapid, accurate, and non-destructive batch testing of fruit growth state is crucial for improving economic benefits. However, for plums, environmental variability, multi-scale, occlusion, overlapping of leaves or fruits pose significant ch
Externí odkaz:
https://doaj.org/article/9e90656fc560410c8474532e90c54bfb
Publikováno v:
Agriculture, Vol 13, Iss 5, p 1023 (2023)
The occurrence of pests at high frequencies has been identified as a major cause of reduced citrus yields, and early detection and prevention are of great significance to pest control. At present, studies related to citrus pest identification using d
Externí odkaz:
https://doaj.org/article/69d53f67c9e94141ba27e0509473c749
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 279 (2021)
The classical harmonic analysis (CHA) method only can be used to obtain the harmonic constants (amplitude and phase) of ocean tide loading displacement (OTLD). In fact, there are significant seasonal variations in the harmonic constants of OTLD. A mo
Externí odkaz:
https://doaj.org/article/b4f729fee6934886ba8d71e2668c4937
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4168 (2020)
Mean sea surface (MSS) is an important datum for the study of sea-level changes and charting data, and its accuracy in coastal waters has always been the focus of marine geophysics and oceanography. A new MSS model with a grid of 1′ × 1′ over th
Externí odkaz:
https://doaj.org/article/673f6f4c0f984a6fb11206e634b1a416
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 6, p 426 (2020)
Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter wavefo
Externí odkaz:
https://doaj.org/article/b6c658b519784c5280b600e797682c80