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Feng Jiang 0005
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology / State Key Laboratory for Novel Software Technology, China
- affiliation: Taizhou Institute of Science and Technology, School of Mobile Internet, China
Other persons with the same name
- Feng Jiang — disambiguation page
- Feng Jiang 0001 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Feng Jiang 0002 — University of California at Irvine, Department of Electrical Engineering and Computer Science, Center for Pervasive Communications and Computing, CA, USA
- Feng Jiang 0003 — Zhongnan University of Economics and Law, School of Statistics and Mathematics, Wuhan, China (and 1 more)
- Feng Jiang 0004 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China (and 1 more)
- Feng Jiang 0006 — Chongqing University, Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
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2020 – today
- 2020
- [j4]Na Li, Huizhen Hao, Zhiwei Jiang, Feng Jiang, Ronghua Guo, Qing Gu, Xiumian Hu:
A multi-task multi-class learning method for automatic identification of heavy minerals from river sand. Comput. Geosci. 135: 104403 (2020) - [j3]Feng Jiang, Na Li, Lili Zhou:
Grain segmentation of sandstone images based on convolutional neural networks and weighted fuzzy clustering. IET Image Process. 14(14): 3499-3507 (2020)
2010 – 2019
- 2018
- [j2]Feng Jiang, Qing Gu, Huizhen Hao, Na Li, Bingqian Wang, Xiumian Hu:
A method for automatic grain segmentation of multi-angle cross-polarized microscopic images of sandstone. Comput. Geosci. 115: 143-153 (2018) - [c2]Feng Jiang, Qing Gu, Huizhen Hao, Na Li:
Feature Extraction and Grain Segmentation of Sandstone Images Based on Convolutional Neural Networks. ICPR 2018: 2636-2641 - 2017
- [j1]Huizhen Hao, Feng Jiang, Na Li, Qing Gu:
砂岩显微图像分析方法及其工具实现 (Sandstone Microscopic Image Analysis Method and Tool Implementation). 计算机科学 44(11): 50-55 (2017) - [c1]Feng Jiang, Qing Gu, Huizhen Hao, Na Li:
Grain segmentation of multi-angle petrographic thin section microscopic images. ICIP 2017: 3879-3883
Coauthor Index
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