Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dongxiao Ren"'
Autor:
Dongxiao Ren, Weihua Xu
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Along with the continuous breakthrough and popularization of information network technology, multi-modal data, including texts, images, videos, and audio, is growing rapidly. We can retrieve different modal data to meet our needs, so cross-modal retr
Externí odkaz:
https://doaj.org/article/f8b029655799436e8add9cbba472e068
Publikováno v:
IEEE Access, Vol 10, Pp 100276-100285 (2022)
The rapid growth of multi-modal data in recent years has driven the strong demand for retrieving semantic-related data within different modalities. Therefore, cross-modal hashing has attracted extensive interest and studies due to its fast retrieval
Externí odkaz:
https://doaj.org/article/0c145c93bf8245d3b4fa22069d7f66d2
Publikováno v:
IEEE Access, Vol 9, Pp 19682-19695 (2021)
With the explosion of multi-modal Web data, effective and efficient techniques are in urgent need for cross-modal data retrieval with relevant semantics. Among all the possible solutions, the hashing techniques provide compact and measurable binary r
Externí odkaz:
https://doaj.org/article/bda3344639a24cbeb411adc36afdf75d
Publikováno v:
Dianxin kexue, Vol 35, Pp 81-89 (2019)
With the increasing concern of machine learning security issues, an adversarial sample generation method for SVM was proposed. This attack occurred in the testing stage by manipulating with the sample tofool the SVM classification model. Greedy strat
Externí odkaz:
https://doaj.org/article/5f632c8d16d24a41b4d256521b7a75db
Publikováno v:
Dianxin kexue, Vol 34, Pp 41-48 (2018)
Bagging is a classic ensemble approach,whose effectiveness depends on the diversity of component base classifiers.In order to gain the largest diversity,employing genetic algorithms to get independent feature subset for each base classifier was propo
Externí odkaz:
https://doaj.org/article/690a308dfcb04ba5a40f49454a0373cb
Autor:
Enoch Binney, Dongxiao Ren
Publikováno v:
International Journal For Multidisciplinary Research. 4
This research proposes a method for the automatic diagnosis and classification of leaf diseases in Kenyan Arabica coffee leaves. We trained Deep Convolution Neural Learning models on the JMuBEN2 obtained from Mendeley data public access to determine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a28254ce2ad3768b82e79527889c875
https://doi.org/10.36948/ijfmr.2022.v04i05.861
https://doi.org/10.36948/ijfmr.2022.v04i05.861
Autor:
Tian Chang, Yu Huang, Junji Cao, Jinhui Wang, Zhenxing Shen, Jian Sun, Jiaqi Lu, Dongxiao Ren, Hongmei Xu, Xin Wang
Publikováno v:
Aerosol and Air Quality Research. 19:854-864
PM2.5, formaldehyde, and 8 volatile organic compounds (VOCs) were observed in 6 newly decorated apartment units to evaluate the effects of the decorating process on the indoor air quality in Xi’an, China. The comparison of indoor and outdoor formal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b123f4d12c3f4d461fcab256a1e6a8e9
https://doi.org/10.4209/aaqr.2018.07.0261
https://doi.org/10.4209/aaqr.2018.07.0261
Autor:
Zhenxing Shen, Tian Chang, Yu Huang, Junji Cao, Hongxia Liu, Jian Sun, Jiaqi Lu, Dongxiao Ren
Publikováno v:
Chemical Engineering Journal. 348:15-25
To improve toluene removal efficiency and reduce unnecessary reaction products, a system combining a dielectric barrier discharge reactor with MnO2–Co3O4 catalysts was developed. The addition of a catalyst enhanced the toluene removal efficiency, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4420509a41f75ee0a84a04af948ade08
https://doi.org/10.1016/j.cej.2018.04.186
https://doi.org/10.1016/j.cej.2018.04.186
Publikováno v:
Optics Communications. 410:94-101
In this paper, a two-layer image encryption scheme for a discrete cosine transform (DCT) precoded orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) system is proposed. Firstly, in the proposed scheme the transmitted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eced94fb05659fdd0b46f93b406ccb0
https://doi.org/10.1016/j.optcom.2017.09.095
https://doi.org/10.1016/j.optcom.2017.09.095
Autor:
Dongxiao Ren, Jian Sun, Zhenxing Shen, Hua Pan, Chunli Zheng, Chi He, Yu Huang, Jiyang Zhou, Tian Chang, Hongmei Xu, Hongxia Liu, Junji Cao
Publikováno v:
Aerosol and Air Quality Research. 17:2197-2205
To investigate the indoor air quality (IAQ) over Xi’an, the concentrations of volatile organic compounds (VOCs, including formaldehyde, benzene, toluene, o-xylene, p-xylene, n-butyl acetate, ethylbenzene, styrene, n-undecane, and total VOCs) in 471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0322ef9cbb5712d553990a97932b741f
https://doi.org/10.4209/aaqr.2016.12.0542
https://doi.org/10.4209/aaqr.2016.12.0542