Zobrazeno 1 - 10
of 164
pro vyhledávání: '"boosting method"'
Publikováno v:
BMC Biotechnology, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background A method combining offline techniques and the just-in-time learning strategy (JITL) is proposed, because the biochemical reaction process often encounters changing features and parameters over time. Methods Firstly, multiple sub-d
Externí odkaz:
https://doaj.org/article/cbc8dcf93c5f4dd7895f28ef146c90db
Autor:
Özkan, Ekin Karakaya a, 1, ⁎, Ulaş, Hasan Basri b, 2
Publikováno v:
In Safety Science June 2024 174
Autor:
Li, Jian, Shen, Jingfang ⁎
Publikováno v:
In Optical Fiber Technology January 2024 82
Autor:
LI Yunbo, WANG Shitong
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 6, Pp 1441-1452 (2023)
The deep decision tree transfer learning Boosting method (DTrBoost) can only adapt to the training data of one source domain and one target domain, and can not adapt to the samples of several different distribution source domains. In addition, the DT
Externí odkaz:
https://doaj.org/article/fd9df3008302496cb22c5e588dd5bc92
Autor:
M.S. Zamani, S. Sadeqian Bafqi
Publikováno v:
مهندسی مکانیک شریف, Vol 39.3, Iss 1, Pp 15-25 (2023)
Submarine robots or autonomous underwater vehicles (AUVs) are one of the most important tools for identifying, monitoring and inspecting the marine environment and the oceans. In addition, it is used for applications such as tracking surface targets.
Externí odkaz:
https://doaj.org/article/ffba082b6cb34704bf2ae67596749847
Autor:
Naeem, Afrah a, Javaid, Nadeem b, ⁎, Aslam, Zeeshan a, Nadeem, Muhammad Imran c, Ahmed, Kanwal c, Ghadi, Yazeed Yasin d, Alahmadi, Tahani Jaser e, Ghamry, Nivin A. f, Eldin, Sayed M. g, ⁎⁎
Publikováno v:
In Heliyon September 2023 9(9)
Publikováno v:
In International Journal of Electrical Power and Energy Systems August 2023 150
Autor:
Wu, Ren-jie a, Xia, Jin a, ⁎, Chen, Jie-jing a, Chen, Ke-yu a, Zheng, Yu-hang a, Mao, Jiang-hong b, Wang, Jin-quan c, Jin, Wei-liang a
Publikováno v:
In Engineering Structures 15 June 2023 285
Autor:
Afrah Naeem, Zeeshan Aslam, Tamara Al Shloul, Aqdas Naz, Muhammad Imran Nadeem, Mosleh Hmoud Al-Adhaileh, Yazeed Yasin Ghadi, Heba G. Mohamed
Publikováno v:
IEEE Access, Vol 11, Pp 59496-59510 (2023)
Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are welcomed. The investigation o
Externí odkaz:
https://doaj.org/article/bfc8c50a89904315bc9d82ed895ee8d0
Autor:
Afrah Naeem, Nadeem Javaid, Zeeshan Aslam, Muhammad Imran Nadeem, Kanwal Ahmed, Yazeed Yasin Ghadi, Tahani Jaser Alahmadi, Nivin A. Ghamry, Sayed M. Eldin
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e18928- (2023)
Electricity theft is the largest type of non-technical losses faced by power utilities around the globe. It not only raises revenue losses to the utilities but also leads to lethal fires and electric shocks at distribution side. In the past, field op
Externí odkaz:
https://doaj.org/article/6ea15faac89343b9b854bb3a3ff3316f