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浏览/检索结果: 共7条，第1-7条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Comparative study of hydroxyapatite, fluor-hydroxyapatite and Si-substituted hydroxyapatite nanoparticles on osteogenic, osteoclastic and antibacterial ability 期刊论文 RSC Advances, 2019, 卷号: 9, 期号: 28 作者:  Sun, Jing;  Wu, Tao;  Fan, Qihang;  Hu, Qing;  Shi, Bin 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05 Comparative study of hydroxyapatite, fluor-hydroxyapatite and Si-substituted hydroxyapatite nanoparticles on osteogenic, osteoclastic and antibacterial ability 期刊论文 RSC ADVANCES, 2019, 卷号: 9, 期号: 28 作者:  Sun, Jing;  Wu, Tao;  Fan, Qihang;  Hu, Qing;  Shi, Bin 收藏  |  浏览/下载：0/0  |  提交时间：2019/12/05 Multi-Scaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation from Single Lead Short ECG Recordings 期刊论文 IEEE Journal of Biomedical and Health Informatics, 2018 作者:  Xiaomao Fan;  Qihang Yao;  Yunpeng Cai;  Fen Miao;  Ye Li 收藏  |  浏览/下载：23/0  |  提交时间：2019/01/31 An Efficient Automatic Electrocardiogram Analysis Method Using Smartphones 会议论文 Las Vegas, 2018 作者:  Xiaomao Fan;  Qihang Yao;  Yunpeng Cai;  Ye Li 收藏  |  浏览/下载：15/0  |  提交时间：2019/01/31 Mobile GPU-based implementation of automatic analysis method for long-term ECG. 期刊论文 BIOMEDICAL ENGINEERING ONLINE, 2018 作者:  Fan, Xiaomao;  Yao, Qihang;  Li, Ye;  Chen, Runge;  Cai, Yunpeng 收藏  |  浏览/下载：12/0  |  提交时间：2019/01/31 Time-Incremental Convolutional Neural Network for Arrhythmia Detection in Varied-length Electrocardiogram 会议论文 Athens, Greece, 2018 作者:  Qihang Yao;  Xiaomao Fan;  Yunpeng Cai;  Ruxin Wang;  Liyan Yin 收藏  |  浏览/下载：44/0  |  提交时间：2019/01/31 Multi-scenario robust transmission planning considering correlation between wind power and load demand 期刊论文 Dianli Jianshe/Electric Power Construction, 2018, 卷号: 39, 页码: 63-70 作者:  Huang, Qihang;  Wang, Xiuli;  Qi, Shixiong;  Fan, Jiajie;  Wang, Yifei 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26 Load  Multi-scenario robust optimization  Transmission planning  Uncertainty theory  Wind power