Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Xuehai Tang"'
Autor:
Zhibin Sun, Xinyue Jiang, Xuehai Tang, Lipeng Yan, Fan Kuang, Xiaozhou Li, Min Dou, Bin Wang, Xiang Gao
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3137 (2023)
The interference of background noise leads to the extremely high spatial complexity of hyperspectral data. Sensitive band selecting is an important task to minimize or eliminate the influence of non-target elements. In this study, Taylor expansion is
Externí odkaz:
https://doaj.org/article/4e4fd4e0eb3d4fbd8bd37dbcf5981d4f
Autor:
Zhibin Sun, Wenqi Qian, Qingfeng Huang, Haiyan Lv, Dagui Yu, Qiangxin Ou, Haomiao Lu, Xuehai Tang
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1066 (2022)
Forest is the largest vegetation carbon pool in the global terrestrial ecosystem. The spatial distribution and change of forest biomass are of importance to reveal the surface spatial variation and driving factors, to analyze and evaluate forest prod
Externí odkaz:
https://doaj.org/article/47f670ba4bd1403c8dda983ba0d0c821
Autor:
Gao, Zhibin Sun, Xinyue Jiang, Xuehai Tang, Lipeng Yan, Fan Kuang, Xiaozhou Li, Min Dou, Bin Wang, Xiang
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 3137
The interference of background noise leads to the extremely high spatial complexity of hyperspectral data. Sensitive band selecting is an important task to minimize or eliminate the influence of non-target elements. In this study, Taylor expansion is
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35ab66ca0724d35368d0f0c10bef025f
https://doi.org/10.1007/978-3-031-30637-2_12
https://doi.org/10.1007/978-3-031-30637-2_12
Publikováno v:
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS).
Publikováno v:
Journal of Sustainable Forestry. 40:263-280
The topographical advantage is the contribution of topographic and traffic conditions to the operational efficiency such as afforestation, cutting, logging, and transportation of forestland. The cl...
Autor:
Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783030953836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb2a7102247cfd1cc7ced094bee23e82
https://doi.org/10.1007/978-3-030-95384-3_49
https://doi.org/10.1007/978-3-030-95384-3_49
With the continuous increase of tourism development and human disturbance, the functional structure distribution, sustainable utilization of resources and ecological benefits of nature reserves have been affected, and its ecological risk has increase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::230c17eec728782ce1d3f4d49065e131
https://doi.org/10.21203/rs.3.rs-298724/v1
https://doi.org/10.21203/rs.3.rs-298724/v1
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676636
ECML/PKDD (3)
ECML/PKDD (3)
Document-level Sentiment Analysis (DSA) is more challenging due to vague semantic links and complicate sentiment information. Recent works have been devoted to leveraging text summarization and have achieved promising results. However, these summariz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d331f54d03ad02e590396124dfd99f8
https://doi.org/10.1007/978-3-030-67664-3_38
https://doi.org/10.1007/978-3-030-67664-3_38
Autor:
Wang Wang, Songlin Hu, Mengtian Gu, Jizhong Han, Liangjun Zang, Biyu Zhou, Xuehai Tang, Fengyang Du
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779634
ICCS (2)
ICCS (2)
With the rapid development of data center facilities and technology, in addition to detection accuracy, detection speed has also become a concern for host-based intrusion detection. In this paper, we propose a DNN model to detect intrusion for host w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202693b0aee006770433490cbfc4c302
https://doi.org/10.1007/978-3-030-77964-1_15
https://doi.org/10.1007/978-3-030-77964-1_15