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Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 280-291
作者:  Zhang, Ce;  Atkinson, Peter M.;  George, Charles;  Wen, Zhaofei;  Diazgranados, Mauricio;  Gerard, France
收藏  |  浏览/下载:54/0  |  提交时间:2021/02/24
Multi-scale deep learning  Residual U-Net  Scale sequence  Semantic segmentation  Paramos  
Training and Operation of Multi-layer Convolutional Neural Network Using Electronic Synapses 期刊论文
Journal of Physics: Conference Series, 2020, 卷号: 1631, 期号: 1
作者:  Ding,Yi;  Li,Penglong;  Liu,Jiaqi;  Luo,Ding;  Li,Xiaolong;  Li,Zhenghao
收藏  |  浏览/下载:49/0  |  提交时间:2021/02/24
Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management 期刊论文
HARMFUL ALGAE, 2020, 卷号: 94, 页码: 10
作者:  Shan, Kun;  Wang, Xiaoxiao;  Yang, Hong;  Zhou, Botian;  Song, Lirong;  Shang, Mingsheng
收藏  |  浏览/下载:156/0  |  提交时间:2020/08/24
Bayesian modelling  Eutrophication  Nutrient thresholds  Cyanobacterial blooms  Microcystis  Microcystin  
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label 会议论文
15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019
作者:  Luo, Mengzhen;  Shi, Xiaoyu;  Ji, Qianqian;  Shang, Mingsheng;  He, Xianbo;  Tao, Weiguo
收藏  |  浏览/下载:393/0  |  提交时间:2020/02/18
高光谱技术的水上苯乙烯厚度反演模型研究 期刊论文
测绘科学, 2020, 卷号: 45, 期号: 3, 页码: 103
作者:  赵德梅;  温兆飞;  周洁
收藏  |  浏览/下载:83/0  |  提交时间:2020/08/24
styrene  machine learning  random forest  thickness inversion  苯乙烯  机器学习  随机森林  厚度反演  
seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 98383-98394
作者:  Bai, Yanan;  Shi, Xiaoyu;  Wu, Wenyuan;  Chen, Jingwei;  Feng, Yong
收藏  |  浏览/下载:104/0  |  提交时间:2020/08/24
Encryption  Data privacy  Cloud computing  Lattices  Machine learning  Computational efficiency  Homomorphic encryption  matrix computation  machine learning  GSW encryption scheme  big data  privacy protection