Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Siming HAN"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract With the increasing complexity of the shortwave communication environment, the efficiency and accuracy of the manual detection of Morse code no longer meet actual needs. Therefore, this paper proposes a Morse code detection algorithm called
Externí odkaz:
https://doaj.org/article/568a44d7936b439d9ef8d26678fe8548
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 19, Pp 43-52 (2022)
To describe the changes of juicy peach microstructure under different drying methods, microstructure images and cell parameter distribution curves of juicy peach under different moisture ratios were obtained by using paraffin section, micro-imaging a
Externí odkaz:
https://doaj.org/article/bd7207352a5c41c2b873c4984dc5a6de
Publikováno v:
IEEE Access, Vol 6, Pp 11397-11404 (2018)
In order to mitigate investments, stock price forecasting has attracted more attention in recent years. Aiming at the discreteness, non-normality, high-noise in high-frequency data, a support vector machine regression (SVR) algorithm is introduced in
Externí odkaz:
https://doaj.org/article/0f097ae90dba4a699760b354fdb0c48b
Publikováno v:
IEEE Access, Vol 6, Pp 18582-18591 (2018)
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information. We comb
Externí odkaz:
https://doaj.org/article/e5de7d5223a74b42be64aa21c5c4838e
Publikováno v:
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 653:129978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9196b7cce45a7cbd75646f48bd928d
https://doi.org/10.1016/j.colsurfa.2022.129978
https://doi.org/10.1016/j.colsurfa.2022.129978
Publikováno v:
Applied Energy. 307:118221
Emergency load shedding is an effective and frequently used emergency control action for power system transient stability. Solving the full optimization models for load shedding is computational burdensome and thus slow react to the intense system va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93bf79c602ef8d3fad27c54915a0ef22
https://doi.org/10.1016/j.apenergy.2021.118221
https://doi.org/10.1016/j.apenergy.2021.118221
Publikováno v:
IEEE Access, Vol 6, Pp 11397-11404 (2018)
In order to mitigate investments, stock price forecasting has attracted more attention in recent years. Aiming at the discreteness, non-normality, high-noise in high-frequency data, a support vector machine regression (SVR) algorithm is introduced in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa0fd8da1d9af363bcab589b8c07812
https://doi.org/10.1109/access.2018.2806180
https://doi.org/10.1109/access.2018.2806180
Publikováno v:
IEEE Access. 6:18582-18591
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information. We comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e79d94b120e986bdcc21fe09fc68537
https://doi.org/10.1109/access.2018.2820043
https://doi.org/10.1109/access.2018.2820043
Publikováno v:
Procedia Computer Science. 129:219-223
Hyperspectral image(HSI) classification has been a hot topic in the remote sensing community. A large number of methods have been proposed for HSI classification. However, most of them are based on the extraction of spectral feature, which leads to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d06f69e78b8ea8a19735b6782366990
https://doi.org/10.1016/j.procs.2018.03.048
https://doi.org/10.1016/j.procs.2018.03.048
Publikováno v:
Procedia Computer Science. 129:159-165
Explosive growth of applications in hyperspectral image has brought challenge of how to efficiently classify the objects by their spectral feature. Under this circumstance, to improve the classification accuracy, lots of spectral-spatial approaches a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88328f3885590a03acf78b79ab626792
https://doi.org/10.1016/j.procs.2018.03.066
https://doi.org/10.1016/j.procs.2018.03.066