Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Junlan Jin"'
Publikováno v:
Physical Review X, Vol 13, Iss 4, p 041013 (2023)
The requirements for fault-tolerant quantum error correction can be simplified by leveraging structure in the noise of the underlying hardware. In this work, we identify a new type of structured noise motivated by neutral-atom qubits, biased erasure
Externí odkaz:
https://doaj.org/article/df2e3537e2d2471185708a966a9b455e
Autor:
Junlan Jin, Hendrik Bekker, Tobias Kirschbaum, Yuri A. Litvinov, Adriana Pálffy, Jonas Sommerfeldt, Andrey Surzhykov, Peter G. Thirolf, Dmitry Budker
Publikováno v:
Physical Review Research, Vol 5, Iss 2, p 023134 (2023)
^{229}Th with a low-lying nuclear isomeric state is an essential candidate for a nuclear clock as well as many other applications. Laser excitation of the isomeric state has been a long-standing goal. With relativistic ^{229}Th ions in storage rings,
Externí odkaz:
https://doaj.org/article/648e27486f164d87bbc8fcf143684858
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102597- (2021)
Remote sensing image change detection is an essential aspect of remote sensing technology application. Existing change detection algorithms based on deep learning do not distinguish between changed and unchanged areas explicitly, resulting in serious
Externí odkaz:
https://doaj.org/article/85d3e81e17d0431dacf19385310779ed
Publikováno v:
Sensors, Vol 22, Iss 14, p 5259 (2022)
Human action recognition (HAR) is the foundation of human behavior comprehension. It is of great significance and can be used in many real-world applications. From the point of view of human kinematics, the coordination of limbs is an important intri
Externí odkaz:
https://doaj.org/article/3b3b154a019a48e3a5bf68edd8085971
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5784 (2022)
Two-stream convolution network (2SCN) is a classical method of action recognition. It is capable of extracting action information from two dimensions: spatial and temporal streams. However, the method of extracting motion features from a spatial stre
Externí odkaz:
https://doaj.org/article/23f07eec778c4abb833ab5dfb90e88e4
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 2, p 241 (2022)
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such
Externí odkaz:
https://doaj.org/article/c60fd95b0b7e4f3f8bb28748870e0654
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1028 (2022)
In the task of human motion recognition, the overall action span is changeable, and there may be an inclusion relationship between action semantics. This paper proposes a novel multi-scale time sampling module and a deep spatiotemporal feature extrac
Externí odkaz:
https://doaj.org/article/e1f725147d2e4ae98fb0cb4be9d98989
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 11, p 1189 (2021)
There is tremendous demand for marine environmental observation, which requires the development of a multi-agent cooperative observation algorithm to guide Unmanned Surface Vehicles (USVs) and Unmanned Aerial Vehicles (UAVs) to observe isotherm data
Externí odkaz:
https://doaj.org/article/a78d7bf048994b6d98b0403c2049b875
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7876 (2021)
The Long Short-Term Memory (LSTM) network is a classic action recognition method because of its ability to extract time information. Researchers proposed many hybrid algorithms based on LSTM for human action recognition. In this paper, an improved Sp
Externí odkaz:
https://doaj.org/article/a3348a6e958e42ee9480d0e63146c301
Publikováno v:
Artificial Intelligence Review. 56:1833-1865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac0d0c101966d4fe3dda8bc21189f03
https://doi.org/10.1007/s10462-022-10210-8
https://doi.org/10.1007/s10462-022-10210-8