Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jiezhou He"'
Autor:
Shaopan Wang, Jiezhou He, Xin He, Yuwen Liu, Xiang Lin, Changsheng Xu, Linfangzi Zhu, Jie Kang, Yuqian Wang, Yong Li, Shujia Guo, Yunuo Zhang, Zhiming Luo, Zuguo Liu
Publikováno v:
Therapeutic Advances in Chronic Disease, Vol 14 (2023)
Background: Corneal fluorescein sodium staining is a valuable diagnostic method for various ocular surface diseases. However, the examination results are highly dependent on the subjective experience of ophthalmologists. Objectives: To develop an art
Externí odkaz:
https://doaj.org/article/8addca862f6a462e87b342aaf5cc36fc
Publikováno v:
IEEE Access, Vol 8, Pp 104870-104883 (2020)
In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced
Externí odkaz:
https://doaj.org/article/87018bbd00de4293b782e4d6abb7bb4e
Publikováno v:
IEEE Access, Vol 6, Pp 44876-44893 (2018)
This paper presents an image statistical modeling-based texture classification (TC) approach via the Bayesian-driven B-splines probability density estimation of the image textural surface appearance (ITSA), termed TCvBsISM. It approximates the probab
Externí odkaz:
https://doaj.org/article/f5e66c7ce6f440679e3b6fbd666395fd
Publikováno v:
Complexity, Vol 2018 (2018)
Texture pattern classification has long been an essential issue in computer vision (CV). However, texture is a kind of perceptual concept of human beings in scene observation or content understanding, which cannot be defined or described clearly in C
Externí odkaz:
https://doaj.org/article/e4982d36a49c43a0b683b5ccb435e573
Autor:
Jinping Liu, Jiezhou He, Zhaohui Tang, Yongfang Xie, Weihua Gui, Tianyu Ma, Hadi Jahanshahi, Ayman A. Aly
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:5989-6002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9aeb106b090014cb92b863738e44a2
https://doi.org/10.1109/tsmc.2021.3130232
https://doi.org/10.1109/tsmc.2021.3130232
Autor:
Linmei Gong, Subo Gong, Xiaoqiang Wu, Jiezhou He, Yanjun Zhong, Jun Tang, Jiayi Deng, Zhongzhou Si, Yi Liu, Guyi Wang, Jinxiu Li
Publikováno v:
Fractals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::179bdf1d87b61d7a344b5f79e38318a6
https://doi.org/10.1142/s0218348x23401345
https://doi.org/10.1142/s0218348x23401345
Autor:
Jean Paul Niyoyita, Zhou Jiaming, Zhaohui Tang, Weihua Gui, Jiezhou He, Jinping Liu, Yongfang Xie, Tianyu Ma
Publikováno v:
IEEE Transactions on Cybernetics. 50:4242-4255
This paper presents a froth image statistical modeling-based online flotation process operation-state identification method by introducing a biologically inspired Gabor wavelet transform in accordance with the physiological findings in the biological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc048968590510d6376bffd03ab3fcd6
https://doi.org/10.1109/tcyb.2019.2909763
https://doi.org/10.1109/tcyb.2019.2909763
Publikováno v:
IEEE Access, Vol 8, Pp 104870-104883 (2020)
In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92455ef8b209ab1ebd850fcce87e7841
https://ieeexplore.ieee.org/document/9104734/
https://ieeexplore.ieee.org/document/9104734/
Autor:
Weihua Gui, Tianyu Ma, Jean Paul Niyoyita, Wuxia Zhang, Jinping Liu, Zhaohui Tang, Jiezhou He
Publikováno v:
Knowledge-Based Systems. 177:104-116
This paper presents an adaptive network intrusion detection (ANID) method based on the selective ensemble of kernel extreme learning machines (KELMs) with random features (termed ANID-SEoKELM), aiming at identifying various unauthorized uses, misuses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39f1f8664f2cbdb96951d68f013041bb
https://doi.org/10.1016/j.knosys.2019.04.008
https://doi.org/10.1016/j.knosys.2019.04.008
Autor:
Jean Paul Niyoyita, Jinping Liu, Zhaohui Tang, Jiezhou He, Weihua Gui, Junbin He, Yongfang Xie, Tianyu Ma
Publikováno v:
IEEE transactions on cybernetics. 51(2)
Froth color can be referred to as a direct and instant indicator to the key flotation production index, for example, concentrate grade. However, it is intractable to measure the froth color robustly due to the adverse interference of time-varying and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::040310ee6bf931c03506d9ea70b26058
https://pubmed.ncbi.nlm.nih.gov/32191905
https://pubmed.ncbi.nlm.nih.gov/32191905