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Data Driven Vibration Control: A Review 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 卷号: 11, 期号: 9, 页码: 1898-1917
作者:  Yang, Weiyi;  Li, Shuai;  Luo, Xin
收藏  |  浏览/下载：2/0  |  提交时间：2024/09/23
Vibrations  Measurement  Surveys  Systematics  Reviews  Service robots  Medical services  Data driven vibration control (DDVC)  data science  designing method  feedforward control  industrial robot  input shaping  optimizing method  residual vibration  
A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction 期刊论文
NEURAL PROCESSING LETTERS, 2024, 卷号: 56, 期号: 4, 页码: 24
作者:  Peng, Bo;  Zhang, Kefan;  Jin, Long;  Shang, Mingsheng
收藏  |  浏览/下载：85/0  |  提交时间：2024/09/23
Arctic sea ice extraction  Transfer-learning-like neural dynamics  Noise-tolerant algorithm  Neural dynamics.  
State updating in Xin'anjiang model by Asynchronous Ensemble Kalman filtering with enhanced error models 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 640, 页码: 22
作者:  Gong, Junfu;  Yao, Cheng;  Weerts, Albrecht H.;  Li, Zhijia;  Wang, Xiaoyi;  Xu, Junzeng;  Huang, Yingchun
收藏  |  浏览/下载：1/0  |  提交时间：2024/09/23
Flood forecasting  Data assimilation  Asynchronous Ensemble Kalman filtering  Error model  Xin'anjiang model  
Determination of major drive of ozone formation and improvement of O3 prediction in typical North China Plain based on interpretable random forest model 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 934, 页码: 12
作者:  Yao, Liyin;  Han, Yan;  Qi, Xin;  Huang, Dasheng;  Che, Hanxiong;  Long, Xin;  Du, Yang;  Meng, Lingshuo;  Yao, Xiaojiang;  Zhang, Liuyi;  Chen, Yang
收藏  |  浏览/下载：10/0  |  提交时间：2024/08/16
O3  Prediction  Interpretable random forest  SHAP  CMAQ  
Highly efficient recognition of similar objects based on ionic robotic tactile sensors 期刊论文
SCIENCE BULLETIN, 2024, 卷号: 69, 期号: 13, 页码: 2089-2098
作者:  Kong, Yongkang;  Cheng, Guanyin;  Zhang, Mengqin;  Zhao, Yongting;  Meng, Wujun;  Tian, Xin;  Sun, Bihao;  Yang, Fuping;  Wei, Dapeng
收藏  |  浏览/下载：1/0  |  提交时间：2024/09/23
Tactile recognition  Conformal ionic gel coating  Flexible sensors  Dual-branch convolutional neural network  
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging 期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 卷号: 24, 期号: 1, 页码: 15
作者:  Chen, Yuwen;  Hu, Xiaoyan;  Zhu, Yiziting;  Liu, Xiang;  Yi, Bin
收藏  |  浏览/下载：32/0  |  提交时间：2024/08/16
Non-invasive prediction  Smartphone  Hemoglobin  Deep learning  Automatic  
Application of 210 Pb ex dating to establishing chronologies of modern terrestrial sedimentary deposits in estuarine deltas 期刊论文
CATENA, 2024, 卷号: 242, 页码: 11
作者:  Li, Jinlin;  Zhang, Xinbao;  He, Xiubin;  Wei, Jie;  Yuan, Yong;  Zhang, Runchuan;  Wu, Shengjun;  Bao, Yuhai;  Tang, Qiang;  Huang, Ping
收藏  |  浏览/下载：8/0  |  提交时间：2024/08/16
210Pbexaccumulation-decay model  Sediment dating  Chronology  Modern terrestrial sedimentary deposits  Yellow River delta  
EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 13, 页码: 19
作者:  Zhao, Yuxin;  Cui, Zeyu;  Liu, Xiangnan;  Liu, Meiling;  Yang, Ben;  Feng, Lei;  Zhou, Botian;  Zhang, Tingwei;  Tan, Zheng;  Wu, Ling
收藏  |  浏览/下载：1/0  |  提交时间：2024/09/23
forest defoliation pest  a pest outbreak  data fusion  multi-source time series data  EWMACD  
Terahertz fingerprint reveals the effect of alcohols on sodium ions hydration shell 期刊论文
JOURNAL OF CHEMICAL PHYSICS, 2024, 卷号: 160, 期号: 19, 页码: 7
作者:  Yan, Yuyue;  Chen, Ligang;  Zhang, Jiaqi;  Ren, Guanhua;  Zhou, Lu;  Liu, Liyuan;  Zhang, Xueqian;  Ouyang, Chunmei;  Wang, Huabin;  Han, Jiaguang
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/12
Energy-aware dynamic rescheduling of flexible manufacturing system using edge-cloud collaborative decision-making method 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2024, 页码: 16
作者:  Li, Hongcheng;  Cao, Yunpeng;  Lei, Yubo;  Cao, Huajun;  Peng, Jian;  Jia, Yachao
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/12
Energy-aware dynamic rescheduling  deep Q network  edge-cloud collaboration  flexible manufacturing system  reinforcement learning