论文成果
当前位置: 唐朝晖的个人主页(Tang Zhaohui's homepage) >> 论文成果- [21]Tang Zhaohui, Convolutional memory network-based flotation performance monitoring[J].Minerals Engineering, 2020, 151: 106332.
- [22]Tang Zhaohui, Timed key-value memory network for flotation reagent control[J].Control Engineering Practice, 2020, 98: 104360.
- [23]Tang,Zhaohui, Intelligent Setting Method of Reagent Dosage Based on Time Series Froth Image in Zinc Flotation Process[J].Processes, 2020, 8 (5) : 536.
- [24]Tang Zhaohui, FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition[J].Digital Signal Processing, 2020, 98: 102639.
- [25]Tang Zhaohui, Review of Key Technologies and Progress in Industrial Equipment Health Management[J].IEEE Access, 2020, 8: 151764-151776.
- [26]Tang Zhaohui*, A watershed segmentation algorithm based on an optimal marker for bubble size measurement.[J].Measurement, 2019, 138: 182-193.
- [27]LIU Jinping, TANG Zhaohui.ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features?[J].Knowledge-Based Systems, 2019, 177: 104-116.
- [28]LIU Jinping, TANG Zhaohui.Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection[J].Expert Systems With Applications, 2019, 139
- [29]Tang ZhaoHui, DTCWT-based Zinc Fast Roughing Working Condition Identification[J].Chinese Journal of Chemical Engineering, 2018, 26 (8) : 1721-1726.
- [30]LIU Jinping, TANG Zhaohui.Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification[J]. UNITED STATES.Complexity, 2018, 2018
- [31]Tang ZhaoHui, Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation[J].Symmetry Basel, 2018, 10 (6) : 216.
- [32]LIU Jinping, TANG Zhaohui.Texture pattern classification based on probability density function estimation of the image spatial structure feature with symmetrical weibull distribution model[J]. NETHERLANDS.Multimedia Tools and Applications, 2018, 78: 12251–12279.
- [33]Tang ZhaoHui, Nonlinear modeling of the relationship between reagent dosage and flotation froth surface image by Hammerstein-Wiener model[J].Minerals Engineering, 2018, 120: 19-28.
- [34]Tang Zhao-hui.Interactive image segmentation with a regression based ensemble learning paradigm[J].Frontiers of Information Technology & Electronic Engineering, 2017, 18 (7) : 1002-1020.
- [35]Tang Zhahui, Selective Search and Intensity Context Based Retina Vessel Image Segmentation[J].Journal of Medical Systems, 2017, 41 (3)
- [36]ZHANG Jin, TANG Zhaohui.Recognition of flotation working conditions through froth image statistical modeling for performance monitoring[J].Minerals Engineering, 2015, 86: 116-129.
- [37]LIU Jinping, TANG Zhaohui.Quality-Related Monitoring and Grading of Granulated Products by Weibull-Distribution Modeling of Visual Images with Semi-Supervised Learning[J]. SWITZERLAND.Sensors, 2016, 16 (998)
- [38]Jianyong Zhu, Huosheng Hu, Zhaohui Tang *, Weihua Gui, Jinping Liu.Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring.International Journal of Computational, 2013: 969-986.
- [39]LIU Jinping, TANG Zhaohui, Spatial-temporal Fusion for Flotation Froth Image Denoising Based on BLS-GSM Method in Curvelet Domain[J]. JAPAN.IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2012, 2014 (9) : 31-38.
- [40]朱建勇, 唐朝晖*, 桂卫华, 刘金平.基于Curvelet 变换的浮选泡沫图像序列时空联合去噪[J], 28 (9) : 1322-1328.