中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	收录类别：SCI    作者：陈芋文    第一作者

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次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
	Multi-Task Learning for UAV Aerial Object Detection in Foggy Weather Condition 期刊论文 REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 18 作者:  Fang, Wenxuan;  Zhang, Guoqing;  Zheng, Yuhui;  Chen, Yuwen 收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25 UAV images  object detection  YOLO  foggy weather condition
	CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical Remote Sensing Images 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14 作者:  Sun, Le;  Wang, Qing;  Chen, Yuwen;  Zheng, Yuhui;  Wu, Zebin;  Fu, Liyong;  Jeon, Byeungwoo 收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25 Channel enhance module (CEM)  optical remote sensing images (RSIS)  redefined feature module (RFM)  salient object detection (SOD)
	Multi-Structure KELM With Attention Fusion Strategy for Hyperspectral Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17 作者:  Sun, Le;  Fang, Yu;  Chen, Yuwen;  Huang, Wei;  Wu, Zebin;  Jeon, Byeungwoo 收藏  |  浏览/下载：45/0  |  提交时间：2022/12/26 Feature extraction  Training  Deep learning  Kernel  Hyperspectral imaging  Electronic mail  Extreme learning machines  Attention mechanisms  hyperspectral image (HSI) classification  kernel extreme learning machine (KELM)  multifeature  multiscale (MS)
	A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence 期刊论文 ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 19, 页码: 14 作者:  Li, Yu-Jie;  Zhang, Li-Ge;  Zhi, Hong-Yu;  Zhong, Kun-Hua;  He, Wen-Quan;  Chen, Yang;  Yang, Zhi-Yong;  Chen, Lin;  Bai, Xue-Hong;  Qin, Xiao-Lin;  Li, Dan-Feng;  Wang, Dan-Dan;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin 收藏  |  浏览/下载：115/0  |  提交时间：2021/02/24 Intra-operative blood loss  intra-operative haemoglobin loss  densely connected convolutional networks  feature extraction technology