Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ziheng Jiao"'
Autor:
Yifei Zhang, Zehan Zhang, Qingqian Yu, Bijuan Lan, Qinghuan Shi, Ruting Li, Ziheng Jiao, Weiyue Zhang, Feng Li
Publikováno v:
Brain Research Bulletin, Vol 212, Iss , Pp 110951- (2024)
Central fatigue is a common pathological state characterized by psychological loss of drive, lack of appetite, drowsiness, and decreased psychic alertness. The mechanism underlying central fatigue is still unclear, and there is no widely accepted suc
Externí odkaz:
https://doaj.org/article/4b2fc6e26ae8424eaeb1261ddc6b532d
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
As the two largest developing countries globally, China and India have become the top 1 and 3 carbon emitters, respectively. Quantitating their CO2 emissions in terms of the characteristics and driving factors is highly significant to mitigating glob
Externí odkaz:
https://doaj.org/article/08a3df56f018444fb5c4bb06da5f20ac
Publikováno v:
IET Computer Vision, Vol 13, Iss 2, Pp 224-232 (2019)
Although promising results have been achieved in the restoration of complex illumination images with the Retinex algorithm, there are still some drawbacks in the processing of Retinex. Considering the noise characteristics of complex illumination ima
Externí odkaz:
https://doaj.org/article/2ac2f71cec76484bae3998ab1d757011
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Deep neural network (DNN) generally takes thousands of iterations to optimize via gradient descent and thus has a slow convergence. In addition, softmax, as a decision layer, may ignore the distribution information of the data during classification.
Autor:
Yifan Liu, Ge Zhu, Zixiao Zhao, Clive E. Sabel, Zongwei Ma, Ziheng Jiao, Jing Zhao, Haikun Wang
Publikováno v:
Liu, Y, Zhu, G, Zhao, Z, Sabel, C E, Ma, Z, Jiao, Z, Zhao, J & Wang, H 2022, ' Population aging might have delayed the alleviation of China's PM 2.5 health burden ', Atmospheric Environment, vol. 270, 118895 . https://doi.org/10.1016/j.atmosenv.2021.118895
Ambient PM2.5 (fine particulate matter) pollution in China has been greatly reduced in recent years, especially since the implementation of the Clean Air Action in 2013. The analysis of variations in the pollution-related health burden and its drivin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aafce304688233f0f3b6f25da336ee7b
https://pure.au.dk/portal/da/publications/population-aging-might-have-delayed-the-alleviation-of-chinas-pm25-health-burden(ab8db53c-2b18-4d28-874e-fc0673a1f7b5).html
https://pure.au.dk/portal/da/publications/population-aging-might-have-delayed-the-alleviation-of-chinas-pm25-health-burden(ab8db53c-2b18-4d28-874e-fc0673a1f7b5).html
Publikováno v:
Sustainable Cities and Society. 83:103977
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Manifold of geodesic plays an essential role in characterizing the intrinsic data geometry. However, the existing SVM methods have largely neglected the manifold structure. As such, functional degeneration may occur due to the potential polluted trai
Autor:
Yifan Liu, Zixiao Zhao, Zongwei Ma, Ge Zhu, Clive E. Sabel, Haikun Wang, Ziheng Jiao, Jing Zhao, Xiaojing He
Ambient PM2.5 (fine particulate matter) pollution in China has been greatly reduced in recent years, especially since the implementation of Clean Air Action in 2013. Analysis of variations in the pollution related health burden and the driving factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67050168b57c4bb032e4e550cde81331
https://doi.org/10.5194/egusphere-egu2020-12322
https://doi.org/10.5194/egusphere-egu2020-12322
Publikováno v:
IET Computer Vision. 13:224-232
Although promising results have been achieved in the restoration of complex illumination images with the Retinex algorithm, there are still some drawbacks in the processing of Retinex. Considering the noise characteristics of complex illumination ima