Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Xiaoxu Peng"'
Autor:
Rashid Rasool Rabbani Ismaili, Xiaoxu Peng, Yibin Li, Arshad Ali, Tariq Ahmad, Anees Ur Rahman, Shahid Ahmad, Kun Shi
Publikováno v:
Animals, Vol 14, Iss 13, p 1938 (2024)
Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow
Externí odkaz:
https://doaj.org/article/4b8fc4d6e7b84ee1bb21c35125689766
Autor:
Ping Hu, Kaiqi Li, Xiaoxu Peng, Tongjia Yao, Chuyang Zhu, Haotian Gu, Hao-Yu Liu, Ming-an Sun, Yun Hu, Wael Ennab, Xugang Luo, Demin Cai
Publikováno v:
Frontiers in Immunology, Vol 14 (2024)
Zinc (Zn), an essential trace element for poultry, plays a crucial role in promoting growth, improving feed conversion efficiency, enhancing antioxidant activity, and preventing disease. This study investigated the impact of different levels and sour
Externí odkaz:
https://doaj.org/article/273d9a0966514b92a65c39dd329f2a41
Autor:
Yue Xiao, Xiaoxu Peng, Yue Peng, Chi Zhang, Wei Liu, Weijie Yang, Xiaowei Dou, Yuying Jiang, Yaxuan Wang, Shuo Yang, Wenpei Xiang, Tinghe Wu, Jing Li
Publikováno v:
Clinical and Translational Medicine, Vol 12, Iss 10, Pp n/a-n/a (2022)
Abstract In mammals, ovarian function is dependent on the primordial follicle pool and the rate of primordial follicle activation determines a female's reproductive lifespan. Ovarian ageing is characterised by chronic low‐grade inflammation with ac
Externí odkaz:
https://doaj.org/article/722e11ba1c6542b9aba3d8bdd6f3d1a7
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 1, Pp 700-724 (2020)
This paper proposes a multi-threshold image segmentation method based on modified salp swarm algorithm (SSA). Multi-threshold image segmentation method has good segmentation effect, but the segmentation precision will be affected with the increase of
Externí odkaz:
https://doaj.org/article/07b8c65ee7754c66b72fdff3d20a0a79
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 6467-6511 (2019)
Accurate image segmentation is the preprocessing step of image processing. Multi-level threshold segmentation has important research value in image segmentation, which can effectively solve the problem of region analysis of complex images, but the co
Externí odkaz:
https://doaj.org/article/2199d62240684e04a555e8602ad59faa
Publikováno v:
IEEE Access, Vol 7, Pp 11258-11295 (2019)
Multilevel thresholding is an important approach for image segmentation which has drawn much attention during the past few years. The Tsallis entropy method is implemented for its effectiveness and simplicity. Although it is efficient and gives an ex
Externí odkaz:
https://doaj.org/article/c70eba7d73ba4d17b941ea81e7c54f33
Publikováno v:
IEEE Access, Vol 7, Pp 44903-44927 (2019)
Multithreshold segmentation of color images is an important part of modern image processing. Multithreshold segmentation techniques that use the ideas of optimization in mathematics to process the information contained in the three channels of RGB im
Externí odkaz:
https://doaj.org/article/120eafd97a584e878cd2caa1bb8e8817
Publikováno v:
IEEE Access, Vol 7, Pp 19502-19538 (2019)
Multilevel thresholding is a simple and powerful image segmentation method that has received widespread attention in recent years. However, the accuracy and stability of thresholding techniques are still not ideal and cannot meet the needs of enginee
Externí odkaz:
https://doaj.org/article/17b518b9794c44b087a53c0ee6942deb
Publikováno v:
IEEE Access, Vol 7, Pp 32805-32844 (2019)
Multithreshold segmentation is an indispensable part of modern image processing. Color images contain more information than gray images, therefore RGB multi-thresholding segmentation techniques have been drawn much attention during recent years. Mult
Externí odkaz:
https://doaj.org/article/e841cf6a2c2b49039f0eccac3e6a14c9
Publikováno v:
IEEE Access, Vol 7, Pp 71943-71962 (2019)
The purpose of this paper is to propose a new hybrid metaheuristic to solve the problem of feature selection. Feature selection problem is the process of finding the most relevant subset based on some criteria. A hybrid metaheuristic is a new trend i
Externí odkaz:
https://doaj.org/article/db9353031de345349541c23334a4fa67