Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yanyang Gu"'
Autor:
Chrisbin James, Yanyang Gu, Andries Potgieter, Etienne David, Simon Madec, Wei Guo, Frédéric Baret, Anders Eriksson, Scott Chapman
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Head (panicle) density is a major component in understanding crop yield, especially in crops that produce variable numbers of tillers such as sorghum and wheat. Use of panicle density both in plant breeding and in the agronomy scouting of commercial
Externí odkaz:
https://doaj.org/article/f3344fef0b6d44b58cb8242fb02fb47d
Effect of Pretreatment and High Hydrostatic Pressure on Soluble Dietary Fiber in Lotus Root Residues
Autor:
Yanyang Gu, Liying Niu, Jiangfeng Song, Chunju Liu, Zhongyuan Zhang, Chunquan Liu, Dajing Li, Lixia Xiao
Publikováno v:
Journal of Food Quality, Vol 2022 (2022)
High hydrostatic pressure (HHP) can enhance the physicochemical properties of soluble dietary fiber (SDF) from fruit and vegetable residues including hydration properties, emulsibility, and rheological properties, while the pretreatment methods such
Externí odkaz:
https://doaj.org/article/ae745e1bf4d141d5978f4cf5f752a4d6
Publikováno v:
Mobile Information Systems. 2022:1-13
With the advancement of active jamming technology, a variety of new types of coherent jamming based on digital radio frequency memory (DFRM) have been proposed and implemented in practice, posing serious threats to modern radar systems due to their f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d4d78931639def75b485e055839f42e
https://doi.org/10.1155/2022/4361155
https://doi.org/10.1155/2022/4361155
Autor:
Chrisbin James, Yanyang Gu, Scott Chapman, Wei Guo, Etienne David, Simon Madec, Andries Potgieter, Anders Eriksson
Publikováno v:
2021 Digital Image Computing: Techniques and Applications (DICTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765cbbaf0684f30b2fd4387877750260
https://doi.org/10.1109/dicta52665.2021.9647293
https://doi.org/10.1109/dicta52665.2021.9647293
Autor:
D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson
Publikováno v:
2021 Digital Image Computing: Techniques and Applications (DICTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c9c4d9507ab5ed9ff19c63356f03988
https://doi.org/10.1109/dicta52665.2021.9647150
https://doi.org/10.1109/dicta52665.2021.9647150
Publikováno v:
2020 IEEE 6th International Conference on Computer and Communications (ICCC).
In the face of increasingly serious firmware attacks, it is of great significance to analyze the vulnerability security of UEFI. This paper first introduces the commonly used trusted authentication mechanisms of UEFI. Then, aiming at the loopholes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bf34e41b8db6ef70be5c2cb164ae708
https://doi.org/10.1109/iccc51575.2020.9345103
https://doi.org/10.1109/iccc51575.2020.9345103
Publikováno v:
ICIT
With the rapid development of computer technology and the iteration of malware, numerous computer malware detection methods have been proposed, among which malware detection based on machine learning has become an important research direction. Opcode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da756fe91d63ecc6666d8b2795baa64
https://doi.org/10.1145/3377170.3377236
https://doi.org/10.1145/3377170.3377236
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundNon-scarring alopecia is typically represented by two main types: alopecia areata (AA) and androgenetic alopecia (AGA). While previous observational studies have indicated a link between non-scarring alopecia and hypothyroidism, the precise
Externí odkaz:
https://doaj.org/article/3772f134be454c7893fd49d91e64516b
Publikováno v:
IEEE journal of biomedical and health informatics. 24(5)
Deep learning has been used to analyze and diagnose various skin diseases through medical imaging. However, recent researches show that a well-trained deep learning model may not generalize well to data from different cohorts due to domain shift. Sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3901bfb90c11506ad3b0dc38e980d6d3
https://pubmed.ncbi.nlm.nih.gov/31545748
https://pubmed.ncbi.nlm.nih.gov/31545748
Publikováno v:
RCAR
In this paper, we propose a novel framework to achieve real-time droplet detection and recognition. In a fluidics system, water drops can be generated to carry objects. It is important to use such droplets to analyze the properties of the carried tin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e53594370e7dba327689bc2907ce3b6
https://doi.org/10.1109/rcar.2018.8621816
https://doi.org/10.1109/rcar.2018.8621816