Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Xinghan Xu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7695-7709 (2024)
Capturing finer and discriminative difference features (DFs) is key to obtaining a high-quality change detection (CD) map. However, there is still significant scope for further study on fine-grained detection, especially concerning terms of improving
Externí odkaz:
https://doaj.org/article/daea89d0d4834ef0979b0e7251a69b17
Publikováno v:
Entropy, Vol 26, Iss 10, p 815 (2024)
Currently, with the increasing scale of industrial systems, multisensor monitoring data exhibit large-scale dynamic Gaussian and non-Gaussian concurrent complex characteristics. However, the traditional principal component analysis method is based on
Externí odkaz:
https://doaj.org/article/f4e8ca6aedbb41c995a1af4c074cad66
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 1, p 159 (2024)
Water quality prediction, a well-established field with broad implications across various sectors, is thoroughly examined in this comprehensive review. Through an exhaustive analysis of over 170 studies conducted in the last five years, we focus on t
Externí odkaz:
https://doaj.org/article/1085984d0d9b4301a2f41d3776a12573
Autor:
Satbyul Estella Kim, Yang Xie, Hancheng Dai, Shinichiro Fujimori, Yasuaki Hijioka, Yasushi Honda, Masahiro Hashizume, Toshihiko Masui, Tomoko Hasegawa, Xinghan Xu, Kan Yi, Ho Kim
Publikováno v:
Environment International, Vol 136, Iss , Pp - (2020)
Climate change mitigation efforts to reduce greenhouse gas (GHG) emissions have associated costs, but there are also potential benefits from improved air quality, such as public health improvements and the associated cost savings. A multidisciplinary
Externí odkaz:
https://doaj.org/article/3ad0d2a1388340dda388107188fa8443
Autor:
Xinghan Xu, Chengkun Zhang
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0240430 (2020)
To establish a new model for estimating ground-level PM2.5 concentration over Beijing, China, the relationship between aerosol optical depth (AOD) and ground-level PM2.5 concentration was derived and analysed firstly. Boundary layer height (BLH) and
Externí odkaz:
https://doaj.org/article/6bf0389765964941b979ea39f26aafb9
Autor:
Weijie Ren, Xinghan Xu
Publikováno v:
ISA Transactions. 126:370-376
In the paper, a novel kernel recursive least-squares (KRLS) algorithm named random Fourier feature kernel recursive maximum mixture correntropy (RFF-RMMC) algorithm is proposed, which improves the prediction efficiency and robustness of the KRLS algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d99da44572900de2937116ee61b5c23
https://doi.org/10.1016/j.isatra.2021.08.014
https://doi.org/10.1016/j.isatra.2021.08.014
Autor:
Xinghan Xu, Minoru Yoneda
Publikováno v:
IEEE Transactions on Cybernetics. 51:2577-2586
With the development of the data-driven modeling techniques, using the neural network to simulate the transport process of atmospheric pollutants and constructing ${\textrm {PM}}_{2.5}$ time-series prediction model have become a hot topic. The existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76e58cc04a41a59a8496e4f54e6ac5d
https://doi.org/10.1109/tcyb.2019.2945999
https://doi.org/10.1109/tcyb.2019.2945999
Autor:
Xinghan Xu, Weijie Ren
Publikováno v:
Applied Sciences, Vol 9, Iss 9, p 1811 (2019)
Air pollution has become a global environmental problem, because it has a great adverse impact on human health and the climate. One way to explore this problem is to monitor and predict air quality index in an economical way. Accurate monitoring and
Externí odkaz:
https://doaj.org/article/fa86d4d4866c46d39eab04c741ae4bdd
Autor:
Xinghan Xu, Weijie Ren
Publikováno v:
Symmetry, Vol 11, Iss 5, p 610 (2019)
The prediction of chaotic time series has been a popular research field in recent years. Due to the strong non-stationary and high complexity of the chaotic time series, it is difficult to directly analyze and predict depending on a single model, so
Externí odkaz:
https://doaj.org/article/27b499937f144030927b159aa742b24f
Autor:
Xinghan Xu, Weijie Ren
Publikováno v:
Applied Soft Computing. 116:108321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::378571ba13ca56b5dbff42e2e1096c0f
https://doi.org/10.1016/j.asoc.2021.108321
https://doi.org/10.1016/j.asoc.2021.108321