Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Feiyang GU"'
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 5, Pp 1-12 (2024)
This paper focuses on the scenario where relativistic electron nonlinear Thomson forward scattering is driven by circularly polarized laser pulses, using both theoretical analysis and numerical simulations. For the first time, we investigate how the
Externí odkaz:
https://doaj.org/article/f3dca067491c4de3894c0aba4cc74d72
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6776 (2024)
In this paper, two parameters of the applied magnetic field—magnetic field strength and pulse length—are modified, the spatial properties of electron trajectories and radiation are studied, and conclusions are drawn. Under the premise that the ra
Externí odkaz:
https://doaj.org/article/0e48cccbe7654bb0a453d5ccf51d470e
Analysis of the Effect of Pulse Width on Nonlinear Thomson Scattering from an Applied Magnetic Field
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11710 (2023)
The effects of magnetic fields on electron dynamics, spatially radiated power, and radiation spectra in tightly focused circularly polarized laser pulses are studied in detail. The laser wavelength λ0=1 μm. As the pulse width increases from λ0 to
Externí odkaz:
https://doaj.org/article/b819241bf7264004922fcba14adfcce9
Autor:
Feiyang GU, Ying KONG
Publikováno v:
Dianxin kexue, Vol 35, Pp 151-156 (2019)
Aiming at the difficulty of real-time business processing capability of Hadoop big data platform,the theory of the most advanced Kudu column storage was studied as an effective complement of HDFS block storage,and the use of primary key index and mem
Externí odkaz:
https://doaj.org/article/505f65bf8d14412293e9e737d3451988
Publikováno v:
Information Sciences. 478:524-539
Discriminative sequential pattern mining is one of the most important topics in pattern mining, which has a very wide range of applications. Discriminative sequential pattern mining is intended to extract sequential patterns with significant differen
Publikováno v:
BMC Systems Biology, Vol 11, Iss S4, Pp 17-25 (2017)
BMC Systems Biology
BMC Systems Biology
Background Affinity purification-mass spectrometry (AP-MS) has been widely used for generating bait-prey data sets so as to identify underlying protein-protein interactions and protein complexes. However, the AP-MS data sets in terms of bait-prey pai
Publikováno v:
Information Sciences. 375:1-15
Discriminative pattern mining is used to discover a set of significant patterns that occur with disproportionate frequencies in different class-labeled data sets. Although there are many algorithms that have been proposed, the redundancy issue that t
Publikováno v:
Information Sciences. :146-162
Association rule mining is an important task in the field of data mining, and many efficient algorithms have been proposed to address this problem. However, a large portion of the rules reported by these algorithms just satisfy the user-defined const
Publikováno v:
Intelligent Computing Theories and Application ISBN: 9783319959320
ICIC (2)
ICIC (2)
One fundamental task in molecular biology is to understand the dependency among genes or proteins to model biological networks. One widely used method is to calculate the pairwise correlation or association scores between genes or proteins. To date,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fbd08ea748a02daa1deaf0943c1ced
https://doi.org/10.1007/978-3-319-95933-7_28
https://doi.org/10.1007/978-3-319-95933-7_28
Publikováno v:
Briefings in bioinformatics. 16(5)
Discriminative pattern mining is one of the most important techniques in data mining. This challenging task is concerned with finding a set of patterns that occur with disproportionate frequency in data sets with various class labels. Such patterns a