Zobrazeno 1 - 10
of 20 622
pro vyhledávání: '"Sun Yi"'
Publikováno v:
Qixiang keji, Vol 52, Iss 5, Pp 630-643 (2024)
Compared to inland areas, meteorological stations in the island regions appear scarce and unevenly distributed, which leads to noteworthy uncertainty in detailed characterisation of various meteorological elements. For the Zhoushan Islands, located i
Externí odkaz:
https://doaj.org/article/113cc370429e44ac97ffd39c29373e98
Autor:
HUANG Ye-qun, ZHOU Han-lin, TONG Xiu-ping, JI Wei-ming, SUN Yi-lan, RAO Jian-qing, WEN Cheng-rong, PANG Jie
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 5, Pp 142-150 (2024)
As a subfield of artificial intelligence, machine learning has gained widespread application due to its exceptional ability to learn models and summarize experiences from large datasets. To address the issues of time consumption, labor intensity, poo
Externí odkaz:
https://doaj.org/article/4f7546296b394dbda04c6dfdd1628479
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 4, Pp 45-53 (2024)
Since the development wave of plant-based food in China from 2019, the plant-based food industry has gone through a development process from "soaring and enthusiastic" to "calm and rational". The current development of the entire industry tends to be
Externí odkaz:
https://doaj.org/article/b23c128ed750476d93dc89825ce705cb
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 225-230 (2024)
Objective Due to the increase of metro operation mileages and track conditions complexity, abnormal bogie vibrations caused by wheel-rail wear often occur. Bogie frame serves as an important load-bearing component, requiring research on its structura
Externí odkaz:
https://doaj.org/article/ca1d713648da46bdbfb314514f5d7f81
Publikováno v:
网络与信息安全学报, Vol 10, Pp 91-106 (2024)
Federated learning, capable of training models by sharing gradient parameters, faces the risk of dishonest data aggregation by malicious servers during the model aggregation process. Untrusted users participating in federated learning may also pose a
Externí odkaz:
https://doaj.org/article/4366724850b548969d78fe2a22e74e45
Autor:
Kenneth B. H. Er, Derrick H. D. Nguyen, Yi Shuen Yeoh, Max D. Y. Khoo, Ruisheng Choo, Li Si Tay, Sun Yi Soh, Zaki Jamil, Wee Foong Ang, Adrian H. B. Loo
Publikováno v:
Ecology and Evolution, Vol 14, Iss 9, Pp n/a-n/a (2024)
Abstract Licuala ferruginea Becc., a tropical forest understorey palm, is observed to have fruits that appear red in colour when unripe, turning pink, then white, purple and finally black in colour as they ripen. We monitored 13 fruiting palms in rai
Externí odkaz:
https://doaj.org/article/edbc7608dcf846199635327e94ccb8e0
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 5, Pp 647-658 (2024)
Integrated energy system (IES) is the key to achieve the “dual carbon goals” in face of the current energy industry transformation and low-carbon development. In order to improve the carbon emission reduction capacity of the IES, it is necessary
Externí odkaz:
https://doaj.org/article/31ecec2185374c1694b50874ae719b8e
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 5, Pp 636-646 (2024)
Aimed at the problem of uneven supply and distributed renewable energy (DRE) in charging regions and electric vehicle (EV) loads, a multi-region optimal scheduling strategy for EVs considering compensation incentives is proposed to guide EVs to choos
Externí odkaz:
https://doaj.org/article/6545ccdddc504fa897b8f1f9d1655477
Autor:
FU Jinna (付景娜), ZHAO Zijun (赵子珺), YANG Junxing (杨俊行), HU Zhe (胡哲), LYU Jingmin (吕静敏), SONG Ying (宋颖), SUN Yi (孙祎), GAO Jiajia (高佳佳), GENG Qingwen (耿庆文)
Publikováno v:
中西医结合护理, Vol 10, Iss 4, Pp 48-51 (2024)
Objective To evaluate the Health Education Accurately Linking System (HEALS) combined with case-based leaning (CBL)I n nursing teaching ward round in the encephalopathy clinic. Methods Totally 19 registered nurses were recruited. The routing manageme
Externí odkaz:
https://doaj.org/article/ed98c4821919404a86a772c844eb05c4
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 2, Pp 74-82 (2024)
The pupose of this review was to explore the application of machine learning in the realm of flavor molecule research, particularly in the analysis of the flavor of Jasmine tea. The study of flavor molecules is fundamental to understand and optimize
Externí odkaz:
https://doaj.org/article/404346473c544501b27b286a9420d930