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pro vyhledávání: '"Jinke, Shi"'
Autor:
Jinke, Shi
Object detection is a prominent area of research within computer vision. While object detection based on infrared videos holds great practical significance, the majority of mainstream methods are primarily designed for visible datasets. This thesis i
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343001
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5383 (2023)
The west-central South China Sea upwelling event is a critical process that regulates the climate and marine ecosystem in the region. In this study, we used sea surface temperature (SST) satellite data from 2000 to 2018 to analyze the spatial and tem
Externí odkaz:
https://doaj.org/article/5d79779883204fa6b32efada63d836e7
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5485 (2023)
To achieve high-precision forecasting of different grades of albacore fishing grounds in the South Pacific Ocean, we used albacore fishing data and marine environmental factors data from 2009 to 2019 as data sources. An ensemble learning model (ELM)
Externí odkaz:
https://doaj.org/article/d1d5c61d707f40d5ad1fa39a6c419c53
Autor:
Xiaochun Sheng, Xiaolong Li, Keming Liu, Haize Yu, Mulin Li, Jinke Shi, Zhi Shen, Kai Fu, Haitao Zhou, Andrej Atrens
Publikováno v:
Journal of Materials Engineering and Performance. 32:221-231
Autor:
Keming Liu, Ying Jin, Kai Fu, Jinke Shi, Mulin Li, Jiahao Wen, Yanyan Zhang, Zhi Shen, Zhikai Huang
Publikováno v:
Journal of Physics: Conference Series. 2342:012007
The conductivity and strength of Cu-Fe composites are contradictory. Cryogenic treatment is a promising process to improve the conductivity and strength of materials at the same time. The impact of cryogenic treatment on a thermo-mechanically process