Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Kui Xiong"'
Publikováno v:
Leida xuebao, Vol 11, Iss 6, Pp 974-1002 (2022)
As the electromagnetic spectrum becomes a key operational domain in modern warfare, radars will face a more complex, dexterous, and smarter electromagnetic interference environment in future military operations. Cognitive Intelligent Radar (CIR) has
Externí odkaz:
https://doaj.org/article/d7978af09f5b4547ad3574a300b4c228
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Clean energy utilization is important for the improvement of energy structure. At present, photothermal and electrothermal conversion technologies are becoming increasingly applied in many homes, which can thus be regarded as green residences. To mee
Externí odkaz:
https://doaj.org/article/b54de41d1e3c4a9ba40ff39bb8311180
Publikováno v:
IEEE Access, Vol 8, Pp 18716-18726 (2020)
The kernel conjugate gradient (KCG) algorithms have been proposed to improve the convergence rate and the filtering accuracy of kernel adaptive filters (KAFs) efficiently. However, sparsification is necessary in the KCG algorithms to curb the growth
Externí odkaz:
https://doaj.org/article/9e3bba48e6d24851a430224a1ecda30a
Autor:
Zhao-shou Yang, Qin Yang, Xiao-xiao Sun, Kui Xiong, Xiao-ting Zhu, Yi-chen Wang, Qian-yao Ren, Guo-hui Wu, Shi-min Wang, Xu-qin Cao, Xiao-rong Yang, Wen-gong Jiang
Publikováno v:
Journal of Immunology Research, Vol 2022 (2022)
One of the most prevalent malignant primary brain tumors is primary glioma. Although glutathione peroxidase 8 (GPX8) is intimately associated with carcinogenesis, its function in primary gliomas has not yet been thoroughly understood. Here, we levera
Externí odkaz:
https://doaj.org/article/4ce6775b50184a1d882d97eac2a67576
Publikováno v:
IEEE Access, Vol 7, Pp 10318-10330 (2019)
This paper addresses the stability issues of the least mean absolute third (LMAT) algorithm using the normalization based on the third order in the estimation error. A novel robust normalized least mean absolute third (RNLMAT) algorithm is therefore
Externí odkaz:
https://doaj.org/article/78ecba8185884f6392371140eb253e67
Publikováno v:
IEEE Access, Vol 7, Pp 120548-120558 (2019)
The Cauchy loss has been successfully applied in robust learning algorithms in the presence of large outliers, but it may suffer from performance degradation in complex nonlinear tasks. To address this issue, by transforming the original data into th
Externí odkaz:
https://doaj.org/article/1909af827d984d96b57b01bc6be8c097
Publikováno v:
Symmetry, Vol 11, Iss 10, p 1323 (2019)
Random Fourier mapping (RFM) in kernel adaptive filters (KAFs) provides an efficient method to curb the linear growth of the dictionary by projecting the original input data into a finite-dimensional space. The commonly used measure in RFM-based KAFs
Externí odkaz:
https://doaj.org/article/61c12dd1ba124f2b8457b90d5cc3b749
Publikováno v:
Entropy, Vol 21, Iss 6, p 588 (2019)
As a nonlinear similarity measure defined in the reproducing kernel Hilbert space (RKHS), the correntropic loss (C-Loss) has been widely applied in robust learning and signal processing. However, the highly non-convex nature of C-Loss results in perf
Externí odkaz:
https://doaj.org/article/4c29b1fc19114afb94c0c2d5f93e3337
Publikováno v:
IEEE Transactions on Power Delivery. 38:1521-1533
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::743200a97395526df0882d21c01cf94c
https://doi.org/10.1109/tpwrd.2022.3215187
https://doi.org/10.1109/tpwrd.2022.3215187
Publikováno v:
INMATEH - Agricultural Engineering. 2022, Vol. 68 Issue 3, p735-746. 12p.