Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Yonghong Yu"'
Publikováno v:
IEEE Access, Vol 12, Pp 339-350 (2024)
Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-order inter
Externí odkaz:
https://doaj.org/article/00e019e2b4a24b2cabe56c5721a3474c
Publikováno v:
Sensors, Vol 24, Iss 18, p 6061 (2024)
Personalized tag recommendation algorithms generate personalized tag lists for users by learning the tagging preferences of users. Traditional personalized tag recommendation systems are limited by the problem of data sparsity, making the personalize
Externí odkaz:
https://doaj.org/article/ff3f093bf6e84bd38da28a3d779901d0
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Benign metastasizing leiomyoma (BML) is a rare disease that results from metastasis of uterine leiomyoma to distant sites with benign pathologic features. The lung is the most common metastatic site for BML. This report describes the case of a 49-yea
Externí odkaz:
https://doaj.org/article/866b299e33e04fc5b7afb2556f8c8ed8
Autor:
Mingfeng Yan, Yonghong Yu, Lizhen Luo, Mei Huang, Yuanyin Zhang, Jingtong Su, Wenbin Zhang, Jincheng Ma, Zhe Hu, Haihong Wang
Publikováno v:
Phytopathology Research, Vol 5, Iss 1, Pp 1-12 (2023)
Abstract The 3-ketoacyl-ACP synthase III (FabH), a key enzyme for bacteria growth, catalyses the last step of the initiation of bacterial fatty acid synthesis. Rice bacterial blight is caused by the pathogen Xanthomonas oryzae pv. oryzae (Xoo), which
Externí odkaz:
https://doaj.org/article/8c828d55be9d49758a3f17961a733189
Autor:
Ning Luo, Qingfeng Meng, Puyu Feng, Ziren Qu, Yonghong Yu, De Li Liu, Christoph Müller, Pu Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Population growth and economic development in China has increased the demand for food and animal feed, raising questions regarding China’s future maize production self-sufficiency. Here, we address this challenge by combining data-driven p
Externí odkaz:
https://doaj.org/article/da47ccc5536d4564b620ef4aaf6e8400
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 11019 (2023)
Leaf vein segmentation is crucial in species classification and smart agriculture. The existing methods combine manual features and machine learning techniques to segment coarse leaf veins. However, the extraction of the intricate patterns is time co
Externí odkaz:
https://doaj.org/article/4e47cf10eea74e98a47823c9319b6730
Autor:
Yonghong Yu1 (AUTHOR) yuyh@njupt.edu.cn, Weiwen Qian1 (AUTHOR), Li Zhang2 (AUTHOR), Rong Gao3 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2022, Vol. 22 Issue 19, p1-16. 16p. 1 Diagram, 3 Charts, 4 Graphs.
Publikováno v:
IEEE Access, Vol 8, Pp 124755-124766 (2020)
Warning students with poor performance in advance based on historical academic data, namely, the academic abnormality prediction is important task in education. The majority of existing methods focus on digging out abnormal complex clues from histori
Externí odkaz:
https://doaj.org/article/d578f789ad9e45e786b5cf9ca29f3e9e
Publikováno v:
Journal of Food Quality, Vol 2022 (2022)
Rice quality has received more attention, so monitoring and analysis are of great significance to rice quality. General quality indexes of rice in southern China from 2011 to 2020 were determined, including processing quality (brown rice yield, mille
Externí odkaz:
https://doaj.org/article/ded732fe17be41ed8212bf9827826444
Autor:
Ning Luo, Nathan Mueller, Yi Zhang, Puyu Feng, Shoubing Huang, De Li Liu, Yonghong Yu, Xingya Wang, Pu Wang, Qingfeng Meng
Publikováno v:
Environmental Research Letters, Vol 18, Iss 8, p 084021 (2023)
Extreme weather poses a threat to global crop production, food security and farmer livelihoods. High temperatures have been identified as detrimental to crop yields; however, how heat stress during the critical flowering stage will influence future m
Externí odkaz:
https://doaj.org/article/bf991afe32314f57a8b6341d16924175