Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Diyang Liu"'
Autor:
Yichao Li, Yougang Wang, Furen Deng, Wenxiu Yang, Wenkai Hu, Diyang Liu, Xinyang Zhao, Shifan Zuo, Shuanghao Shu, Jixia Li, Peter Timbie, Réza Ansari, Olivier Perdereau, Albert Stebbins, Laura Wolz, Fengquan Wu, Xin Zhang, Xuelei Chen
Publikováno v:
The Astrophysical Journal, Vol 954, Iss 2, p 139 (2023)
This work presents the initial results of the drift-scan observation for the neutral hydrogen ( Hi ) intensity mapping survey with the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The data analyzed in this work were collected in nigh
Externí odkaz:
https://doaj.org/article/6956bba9ef284964891d033bed2957e0
Publikováno v:
IEEE Access, Vol 7, Pp 87593-87605 (2019)
The rapid development and popularization of the network have brought many problems to network security. Intrusion detection technology is often used as an effective security technology to protect the network. The deep belief network (DBN), as a class
Externí odkaz:
https://doaj.org/article/ce4d8a919aa7443dbbb1b5a524f880b6
Publikováno v:
In Reliability Engineering and System Safety May 2024 245
Publikováno v:
In Reliability Engineering and System Safety July 2024
Publikováno v:
IEEE Access, Vol 7, Pp 87593-87605 (2019)
The rapid development and popularization of the network have brought many problems to network security. Intrusion detection technology is often used as an effective security technology to protect the network. The deep belief network (DBN), as a class
Publikováno v:
2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).
Following the breakthroughs in natural image super-resolution task using faster and deeper neural networks, a method for inverse synthetic aperture radar (ISAR) resolution enhancement using residual network is proposed in this paper. Our method learn
Publikováno v:
Journal of Physics: Conference Series. 1634:012116
At present, deep learning has surpassed humans in recognition tasks, but its performance strongly depends on sufficient training samples. When the training samples are extremely insufficient, overfitting also will damage the performance of network, d
Autor:
Georgiy B. Shul'pin, Amandine Fetre, Dmytro S. Nesterov, Jean Martinez, Igor E. Golub, Alexander A. Korlyukov, Alexey I. Yalymov, Oleg A. Filippov, Jérôme Long, Armando J. L. Pombeiro, Lidia S. Shul’pina, Alexey N. Bilyachenko, Yan V. Zubavichus, Mikhail M. Levitsky, Anna V. Vologzhanina, Xavier Bantreil, Yannick Guari, Diyang Liu, Alexander L. Trigub, Joulia Larionova, Elena S. Shubina, Frédéric Lamaty, Yuriy N. Kozlov
Publikováno v:
RSC Advances
RSC Advances, Royal Society of Chemistry, 2016, 6, pp.48165-48180. ⟨10.1039/C6RA07081g⟩
RSC Advances, Royal Society of Chemistry, 2016, 6, pp.48165-48180. ⟨10.1039/C6RA07081g⟩
International audience; The exotic "Asian Lantern" heterometallic cage silsesquioxane [(PhSiO 1.5) 20 (FeO 1.5) 6 (NaO 0.5) 8 (n-BuOH) 9.6 (C 7 H 8)] (I) was obtained and characterized by X-ray diffraction, EXAFS, topological analyses and DFT calcula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54707412db2ad98d6323b2fb958a9ff9
https://hal.archives-ouvertes.fr/hal-01329780/document
https://hal.archives-ouvertes.fr/hal-01329780/document
Autor:
Alexey N. Bilyachenko, Mikhail M. Levitsky, Alexey I. Yalymov, Alexander A. Korlyukov, Anna V. Vologzhanina, Yuriy N. Kozlov, Lidia S. Shul'pina, Dmytro S. Nesterov, Armando J. L. Pombeiro, Frédéric Lamaty, Xavier Bantreil, Amandine Fetre, Diyang Liu, Jean Martinez, Jérôme Long, Joulia Larionova, Yannick Guari, Alexander L. Trigub, Yan V. Zubavichus, Igor E. Golub, Oleg A. Filippov, Elena S. Shubina, Georgiy B. Shul'pin
Publikováno v:
RSC Advances. 6:52248-52248
Correction for ‘A heterometallic (Fe6Na8) cage-like silsesquioxane: synthesis, structure, spin glass behavior and high catalytic activity’ by Alexey N. Bilyachenko et al., RSC Adv., 2016, 6, 48165–48180.