Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Xi'an, Feng"'
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2346-2356 (2024)
Abstract Due to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Att
Externí odkaz:
https://doaj.org/article/eaded804ae744e46a6c05b27d7d02086
Autor:
Zhonghao Xie1 xzh@mail.nwpu.edu.cn, Xi'an Feng1 fengxa@nwpu.edu.cn, Xiao Chen2 m18801133301@163.com, Guangzao Huang3 guangzh@wzu.edu.cn, Xiaojing Chen3 00101094@wzu.edu.cn, Limin Li3 lilimin@wzu.edu.cn, Wen Shi3, Chengxi Jiang3 20190408@wzu.edu.cn, Shuwen Yu4 gsyusw@163.com
Publikováno v:
International Journal of Agricultural & Biological Engineering. Jul2023, Vol. 16 Issue 4, p200-205. 6p.
Autor:
Hui Huang, Xi'An Feng, Ali Asghar Heidari, Yueting Xu, Mingjing Wang, Guoxi Liang, Huiling Chen, Xueding Cai
Publikováno v:
IEEE Access, Vol 8, Pp 61471-61490 (2020)
Even with the advantages of the sine cosine algorithm (SCA) in solving multimodal problems, there are some shortcomings for this method. We observe that the random patterns utilized in SCA cause an increasing attraction toward local optima. This stud
Externí odkaz:
https://doaj.org/article/eeb6e20ecff04d7fab568fd6d611c352
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S8, Pp 1-14 (2019)
Abstract Background It is of great clinical significance to develop an accurate computer aided system to accurately diagnose the breast cancer. In this study, an enhanced machine learning framework is established to diagnose the breast cancer. The co
Externí odkaz:
https://doaj.org/article/d4d6fd9e09c24410baaf09e5627e4087
Publikováno v:
IEEE Access, Vol 7, Pp 20607-20613 (2019)
As 4-sensor line scan camera technology has matured, red (R), green (G), blue (B), and near-infrared (RGB-NIR) datasets have begun to appear in large numbers. The RGB-NIR data contain the rich color features of the RGB image and the sharp edge featur
Externí odkaz:
https://doaj.org/article/110aa698b424468ea0bec8561ff0e745
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract In this paper, a super-resolution direction-of-arrival (DoA) algorithm for strictly non-circular sources is introduced. The proposed algorithm is based on subspace-weighted mixed-norm minimization. Firstly, we augment the array aperture for
Externí odkaz:
https://doaj.org/article/3151611cfd3d451d9a1a24efb1d2b19c
Publikováno v:
IEEE Access, Vol 6, Pp 31213-31223 (2018)
In this paper, we study the achievable spectral efficiency (SE) for multi-user massive multipleinput multiple-output (MIMO) systems in a single cell, where the base station (BS) has the perfect channel state information and utilizes the maximum ratio
Externí odkaz:
https://doaj.org/article/8b0f7e9adec940e5938e8c71014d26c3
Autor:
Weijie Tan, Xi’an Feng
Publikováno v:
International Journal of Antennas and Propagation, Vol 2019 (2019)
In this paper, we address the direction finding problem in the background of unknown nonuniform noise with nested array. A novel gridless direction finding method is proposed via the low-rank covariance matrix approximation, which is based on a rewei
Externí odkaz:
https://doaj.org/article/bdc39a24429d4d2099e919121eca0c7c
Publikováno v:
International Journal of Imaging Systems and Technology. 32:209-217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25da08a9302c5ec56d275ba2bcb2a9c6
https://doi.org/10.1002/ima.22618
https://doi.org/10.1002/ima.22618
Publikováno v:
Algorithms, Vol 12, Iss 2, p 33 (2019)
Biases of initial direction estimation and focusing frequency selection affect the final focusing effect and may even cause algorithm failure in determining the focusing matrix in the coherent signal⁻subspace method. An optimized sonar broadband fo
Externí odkaz:
https://doaj.org/article/2055a5bf07014bb18690d292a97e5e47