Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Yingqing, Guo"'
Population fusion optimization algorithm for GNSS integer ambiguity resolution based on PSO and AFSA
Publikováno v:
工程科学学报, Vol 46, Iss 12, Pp 2246-2256 (2024)
Carrier phase measurement plays a crucial role in achieving rapid and high-precision positioning within a global navigation satellite system (Global navigation satellite system, GNSS). A pivotal aspect of this process is the accurate resolution of th
Externí odkaz:
https://doaj.org/article/b28d7926e6f049e5a150cd9715c8958d
Autor:
Fan Bai, Ye Liu, Yujie Cheng, Yingqing Guo, Zhenbin Chen, Lisan Cao, Zongping Wang, Pengchao Xie
Publikováno v:
Environmental Science Water Research & Technology; Oct2024, Vol. 10 Issue 10, p2491-2499, 9p
Autor:
Xin Wang, Yingqing Guo
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22316- (2023)
This article focuses on evaluating the efficacy of intelligent image processing techniques using deep learning algorithms in the context of football, to present pragmatic solutions for enhancing the functional strength training of football players. T
Externí odkaz:
https://doaj.org/article/756c655c3d604a72b94982357e688644
Publikováno v:
Sensors, Vol 23, Iss 23, p 9317 (2023)
Periodic torque ripple often occurs in permanent magnet synchronous motors due to cogging torque and flux harmonic distortion, leading to motor speed fluctuations and further causing mechanical vibration and noise, which seriously affects the perform
Externí odkaz:
https://doaj.org/article/997b63a8ec8f4342872cd297d8d74272
Autor:
Yiwei Liu, Luping Tang, Chen Liao, Chun Zhang, Yingqing Guo, Yixuan Xia, Yangyang Zhang, Sisi Yao
Publikováno v:
Sensors, Vol 23, Iss 20, p 8351 (2023)
Regarding the interpretable techniques in the field of image recognition, Grad-CAM is widely used for feature localization in images to reflect the logical decision-making information behind the neural network due to its high applicability. However,
Externí odkaz:
https://doaj.org/article/e45b0d13c87f44578f959882ee5f8d9a
Autor:
Prasun Ray, Yingqing Guo, Myoung-Hwan Chi, Nick Krom, Clarissa Boschiero, Bonnie Watson, David Huhman, Patrick Zhao, Vasanth R Singan, Erika A. Lindquist, Juying Yan, Catherine Adam, Kelly D. Craven
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 34, Iss 10, Pp 1128-1142 (2021)
The fungal family Serendipitaceae encompasses root-associated lineages with endophytic, ericoid, orchid, and ectomycorrhizal lifestyles. Switchgrass is an important bioenergy crop for cellulosic ethanol production owing to high biomass production on
Externí odkaz:
https://doaj.org/article/2312138f024a440d8dbdece47111daca
Autor:
Xin Wang, Yingqing Guo
Publikováno v:
Journal of Imaging Science & Technology; May/Jun2024, Vol. 68 Issue 3, p1-16, 16p
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2508-2520 (2021)
Abstract The current super‐resolution (SR) deep network is mainly applied to the common image and pays little attention to the image with noise. The remote sensing image contains much noise, so that the SR reconstruction effect is not satisfactory.
Externí odkaz:
https://doaj.org/article/ee0f23e0acaa4a9aa69306b102aa4d86
Publikováno v:
In IFAC PapersOnLine 2021 54(10):483-487
Publikováno v:
IEEE Access, Vol 8, Pp 166541-166552 (2020)
As a typical data-driven fault detection approach, the moving window kernel principal component analysis (MWKPCA) method has attracted attention for fault detection of turbofan engines considering the presence of component degradation, but the conven
Externí odkaz:
https://doaj.org/article/ca677c0750434f1ebc1972f73e4e9f00