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Soil Moisture Retrieval Model for Remote Sensing Using Reflected Hyperspectral Information 期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 3, 页码: 17
作者:  J.Yuan;  X.Wang;  C.X.Yan;  S.R.Wang;  X.P.Ju;  Y.Li
浏览  |  Adobe PDF(2221Kb)  |  收藏  |  浏览/下载：563/175  |  提交时间：2020/08/24
hyperspectral remote sensing,soil moisture retrieval model,reflectance,semi-empirical model,Water,spectroscopy,prediction,spectra,Remote Sensing  
Semi-Empirical Soil Organic Matter Retrieval Model With Spectral Reflectance 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 134164-134172
作者:  J.Yuan;  C.H.Hu;  C.X.Yan;  Z.Z.Li;  S.B.Chen;  S.R.Wang
浏览  |  Adobe PDF(805Kb)  |  收藏  |  浏览/下载：430/83  |  提交时间：2020/08/24
Soil organic matter retrieval,reflectance,semi-empirical model,KM,machine learning-methods,moisture retrieval,calibration,prediction,carbon,interpolation,spectroscopy,texture,Computer Science,Engineering,Telecommunications  
DSOD: DSO in Dynamic Environments 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 178300-178309
作者:  P.Ma;  Y.Bai;  J.N.Zhu;  C.J.Wang;  C.Peng
浏览  |  Adobe PDF(2018Kb)  |  收藏  |  浏览/下载：209/60  |  提交时间：2020/08/24
DSO,dynamic environments,segmentation network,depth prediction,network,Computer Science,Engineering,Telecommunications  
Experimental investigation on electrical discharge diamond grinding of RB-SiC ceramics 期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 94, 期号: 2019-05-08, 页码: 2751-2762
作者:  Rao, X. S.;  Zhang, F. H.;  Li, C.;  Li, Y. J.
浏览  |  Adobe PDF(5327Kb)  |  收藏  |  浏览/下载：508/120  |  提交时间：2019/09/17
Electrical discharge diamond grinding  RB-SiC ceramics  Surface quality  Material migration  bonded silicon-carbide  material removal rate  surface-roughness  spark  assistance  micro-edm  breakdown  optimization  prediction  electrodes  composite  Automation & Control Systems  Engineering  
A CFCC-LSTM Model for Sea Surface Temperature Prediction 期刊论文
Ieee Geoscience and Remote Sensing Letters, 2018, 卷号: 15, 期号: 2, 页码: 207-211
作者:  Yang, Y. T.;  Dong, J. Y.;  Sun, X.;  Lima, E.;  Mu, Q. Q.;  Wang, X. H.
浏览  |  Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：637/259  |  提交时间：2019/09/17
Long short term memory (LSTM)  sea surface temperature (SST)  spatiotemporal sequence prediction  ocean  Geochemistry & Geophysics  Engineering  Remote Sensing  Imaging Science  & Photographic Technology  
Predicting tool wear with multi-sensor data using deep belief networks 期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 期号: 2019-05-08, 页码: 1917-1926
作者:  Chen, Y. X.;  Jin, Y.;  Jiri, G.
浏览  |  Adobe PDF(2114Kb)  |  收藏  |  浏览/下载：459/158  |  提交时间：2019/09/17
Tool wear prediction  Deep belief network  Support vector regression  Artificial neural network  neural-networks  diagnosis  state  model  optimization  prognostics  machinery  algorithm  filter  Automation & Control Systems  Engineering