Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Xinshan Zhu"'
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100387- (2024)
Insulators are essential equipment to ensure the safety and reliability of power transmission systems. Defective insulators may cause partial discharge and even lead to serious safety accidents. Hence it is necessary to accurately identify the defect
Externí odkaz:
https://doaj.org/article/6615814add694c23a51fb1a519ead3fd
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100294- (2023)
In modern energy systems, substations are the core of electricity transmission and distribution. However, similar appearance and small size pose significant challenges for automatic identification of electrical devices. To address these issues, we co
Externí odkaz:
https://doaj.org/article/ccbe9140c4a24295bc56b79c5cab8374
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 14, Pp 2791-2804 (2022)
Abstract At different times, the load correlation of the integrated energy system (IES) is different and its changes over time are regular. However, the regularity of such changes is rarely considered in the current IES prediction research. In view o
Externí odkaz:
https://doaj.org/article/91bd62d5938c4d08a13d2ecb9f05aba2
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2593 (2023)
The rapid development of digital image inpainting technology is causing serious hidden danger to the security of multimedia information. In this paper, a deep network called frequency attention-based dual-stream network (FADS-Net) is proposed for loc
Externí odkaz:
https://doaj.org/article/80ece959d073455e85c4e39117dd0d97
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-25 (2021)
Abstract Background The genomics data analysis has been widely used to study disease genes and drug targets. However, the existence of missing values in genomics datasets poses a significant problem, which severely hinders the use of genomics data. C
Externí odkaz:
https://doaj.org/article/d464e4c6f4ac4988a7fae5b3910b1a81
Publikováno v:
IEEE Access, Vol 8, Pp 152053-152070 (2020)
High voltage direct current (HVDC) is expected to bring forth large capacity, long transmission distance, and asynchronous grid interconnection. To quantitatively analyze the protection systems of HVDC, an evaluation system is proposed with a novel i
Externí odkaz:
https://doaj.org/article/7bb5b0d6488f444aa5944f5717cb17f8
Publikováno v:
IEEE Access, Vol 4, Pp 5169-5178 (2016)
In low-power wireless neural recording tasks, signals must be compressed before transmission to extend battery life. Recently, compressed sensing (CS) theory has successfully demonstrated its potential in neural recording applications. In this paper,
Externí odkaz:
https://doaj.org/article/1f518bb1438147cba5bfd7c898aeddcc
Publikováno v:
IEEE Transactions on Power Electronics. 38:195-205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25890699a1473f54660df8505bfc7fd2
https://doi.org/10.1109/tpel.2022.3196426
https://doi.org/10.1109/tpel.2022.3196426
Publikováno v:
IEEE Transactions on Power Electronics. 37:13799-13807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8127648f684adaedfb941b3d2b770f7b
https://doi.org/10.1109/tpel.2022.3184403
https://doi.org/10.1109/tpel.2022.3184403
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:5190-5199
Energy consumption is an important issue for resource-constrained wireless neural recording applications with limited data bandwidth. Compressed sensing (CS) is a promising framework for addressing this challenge because it can compress data in an en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be6a749ab7344d69ec8c9ba645d56ef
https://doi.org/10.1109/tnnls.2021.3069436
https://doi.org/10.1109/tnnls.2021.3069436