Zobrazeno 1 - 10
of 397
pro vyhledávání: '"XU Jiping"'
Publikováno v:
智慧农业, Vol 5, Iss 4, Pp 79-91 (2023)
[Objective]The flow of private data elements plays a crucial role in the food supply chain, and the safe and efficient operation of the food supply chain can be ensured through the effective management and flow of private data elements. Through colla
Externí odkaz:
https://doaj.org/article/3e76d9db5d384cdcb4470745ba52116e
Publikováno v:
Shipin Kexue, Vol 44, Iss 3, Pp 48-59 (2023)
The quality and safety of grains and oils concerns national stability and development, but there are currently many problems with the quality and safety of grains and oils, especially the fact that reliable and efficient data interconnection between
Externí odkaz:
https://doaj.org/article/26e7f0157f124b10818554886dd0472c
Publikováno v:
中国工程科学, Vol 24, Iss 2, Pp 96-105 (2022)
Industrial software integration is the foundation to support the production and digital transformation of industrial enterprises. It is also the core for realizing product lifecycle management. Identification resolution path is key to realizing the i
Externí odkaz:
https://doaj.org/article/cb0058dd3a654a3bbc442107659ac2d8
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04017 (2024)
China’s High-Energy Photon Source (HEPS), the first national highenergy synchrotron radiation light source, is under design and construction. In the future, at the first stage of HEPS, it is predicted that 24PB raw experimental data will be produce
Externí odkaz:
https://doaj.org/article/72517421a8d544518ba03bdb72861669
Publikováno v:
Dianzi Jishu Yingyong, Vol 46, Iss 3, Pp 76-79 (2020)
Aiming at the problem of uneven distribution of traditional wireless sensor networks, the optimization process of the cuckoo algorithm was improved based on Adam optimization algorithm, and the elimination probability of the cuckoo algorithm was impr
Externí odkaz:
https://doaj.org/article/78399159997847bf8f40d30bc13c6968
Deep learning has significantly improved the accuracy of crop classification using multispectral temporal data. However, these models have complex structures with numerous parameters, requiring large amounts of data and costly training. In low-resour
Externí odkaz:
http://arxiv.org/abs/2405.18119
Autor:
Liu, Bo1 (AUTHOR) bo.liu@nlpr.ia.ac.cn, Xu, Jiping2 (AUTHOR) xujp@th.btbu.edu.cn, Zeng, Hui3,4 (AUTHOR) hzeng@ustb.edu.cn, Dong, Qiulei1 (AUTHOR) qldong@nlpr.ia.ac.cn, Hu, Zhanyi1 (AUTHOR) huzy@nlpr.ia.ac.cn
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 14, p2627. 13p.
Autor:
Hu, Bo, Zhang, Huiyan, Wang, Xiaoyi, Wang, Li, Xu, Jiping, Sun, Qian, Zhao, Zhiyao, Zhang, Lei
Publikováno v:
In Expert Systems With Applications 1 April 2024 239
Publikováno v:
In International Journal of Naval Architecture and Ocean Engineering 2024 16
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