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Can Hu
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2020 – today
- 2022
- [c4]Chenyang Zhu, Yujie Cai, Can Hu, Jia Bi:
Efficient Reinforcement Learning with Generalized-Reactivity Specifications. APSEC 2022: 31-40 - [c3]Xinjie Sun
, Zhan Lyu
, Zhangliang Shen
, Can Hu
, Xianyi An
:
Research on the Application of Energy Wisdom Based on Power Iot and Big Data. BDSIC 2022: 51-55 - 2020
- [j6]Bing Lu, Nihong Liu, Xufeng Wang, Can Hu, Xiuying Tang:
A feasibility quantitative analysis of NIR spectroscopy coupled Si-PLS to predict coco-peat available nitrogen from rapid measurements. Comput. Electron. Agric. 173: 105410 (2020)
2010 – 2019
- 2019
- [j5]Can Hu, Wentao Fan
, Ji-Xiang Du, Nizar Bouguila
:
A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models. Neurocomputing 333: 110-123 (2019) - [c2]Mao Ji, Yi Wang, Can Hu:
A Novel Modulation Method for the MMC applied to Medium Voltage Distribution Grids. IECON 2019: 6055-6059 - 2018
- [j4]Can Hu, Jie Feng, Sherman Xuegang Xin:
New method for establishing a 3D subject-specific numerical electromagnetic model using hybrid imaging modalities. Comput. Biol. Medicine 101: 33-38 (2018) - [j3]Can Hu, Wentao Fan
, Ji-Xiang Du, Yuchen Zeng
:
Model-Based segmentation of image data using spatially constrained mixture models. Neurocomputing 283: 214-227 (2018) - [j2]Wentao Fan
, Can Hu, Ji-Xiang Du, Nizar Bouguila:
A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models. Neural Process. Lett. 47(2): 619-639 (2018) - 2017
- [j1]Can Hu, Wentao Fan
, Ji-Xiang Du, Nan Xie:
Spatially variant mixture model for natural image segmentation. J. Electronic Imaging 26(4): 43005 (2017) - 2010
- [c1]Zhengwei Chang, Yu Fang, Yun Zhang, Can Hu:
A Training Simulation System for Substation Equipments Maintenance. MVHI 2010: 572-575
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