Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Fang, Junlong"'
Autor:
Li, Ran, Dai, Baisheng, Hu, Yuhang, Dai, Xin, Fang, Junlong, Yin, Yanling, Liu, Honggui, Shen, Weizheng
Publikováno v:
In Computers and Electronics in Agriculture October 2024 225
Autor:
Wei, Donghui, Fang, Junlong, Abed, Azher M., Chauhan, Bhupendra Singh, Mouldi, Abir, Loukil, Hassen, Chen, Yong
Publikováno v:
In Process Safety and Environmental Protection July 2024 187:117-132
Publikováno v:
In Journal of Cleaner Production 1 October 2023 421
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Load forecast provides effective and reliable guidance for power construction and grid operation. It is essential for the power utility to forecast the exact in-future coming energy demand. Advanced machine learning methods can support compe
Externí odkaz:
https://doaj.org/article/045ab8ff950343329952f92a2108080a
Publikováno v:
In Energy Reports November 2022 8:8511-8522
Autor:
Wei, Donghui, Zhang, Liying, Alotaibi, Abdullah Alhumaidi, Fang, Junlong, Alshahri, Abdullah H., Almitani, Khalid H.
Publikováno v:
In International Journal of Hydrogen Energy 22 July 2022 47(62):26646-26653
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 6, Iss 2, Pp 215-226 (2021)
The behaviours of the pig are often closely related to their health. Pig recognition is very important for pig behaviour analysis and digital breeding. Currently, the early signs and abnormal behaviours of sick pigs in breeding farms are mainly compl
Externí odkaz:
https://doaj.org/article/4ba584a60d344bab81dd6604ff3b57ad
Publikováno v:
In Energy Reports November 2021 7:7663-7674
Akademický článek
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Publikováno v:
Chemical Engineering Transactions, Vol 65 (2018)
In this paper, a quantitative analysis model is established with the help of hyperspectral imaging technology and the least squares method to study the biomass content in straw. The results show that the optimal selection of spectral dimensional data
Externí odkaz:
https://doaj.org/article/7b3c018a93204c34ac74662c165c9c1e