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CASIA OpenIR
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A novel infrared spectral preprocessing method based on self-deconvolution and differentiation in the frequency domain 期刊论文
VIBRATIONAL SPECTROSCOPY, 2023, 卷号: 127, 页码: 11
作者:  Shan, Peng;  Liu, Junyi;  He, Zhonghai;  Peng, Silong;  Wang, Fei;  Liu, Chengzhao;  Zhou, Zheng
收藏  |  浏览/下载：117/0  |  提交时间：2023/11/17
Spectral preprocessing  Quantitative analysis  Fourier transform Infrared spectroscopy  
RSDet++: Point-based modulated loss for more accurate rotated object detection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 32, 期号: 11, 页码: 7869-7879
作者:  Wen Qian;  Xue Yang;  Silong Peng;  Xiujuan Zhang;  Junchi Yan
Adobe PDF(6998Kb)  |  收藏  |  浏览/下载：174/62  |  提交时间：2023/06/07
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:  Shan, Peng;  Bi, Yiming;  Li, Zhigang;  Wang, Qiaoyun;  He, Zhonghai;  Zhao, Yuhui;  Peng, Silong
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/17
Model adaptation  Domain-invariant feature representation  Projected maximum mean discrepancy  Kernel partial least squares  
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：200/0  |  提交时间：2020/03/30
Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)  
Stacked ensemble extreme learning machine coupled with Partial Least Squares-based weighting strategy for nonlinear multivariate calibration 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 卷号: 215, 页码: 97-111
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Sha, Xiaopeng;  Lv, Xiaoyong;  Peng, Silong;  Ying, Yao
收藏  |  浏览/下载：176/0  |  提交时间：2019/12/16
Extreme learning machine (ELM)  Partial least squares (PLS)  Nonlinear multivariate calibration  Stacked generalization  
Calibration Transfer Based on Affine Invariance for NIR without Transfer Standards 期刊论文
MOLECULES, 2019, 卷号: 24, 期号: 9, 页码: 19
作者:  Zhao, Yuhui;  Zhao, Ziheng;  Shan, Peng;  Peng, Silong;  Yu, Jinlong;  Gao, Shuli
收藏  |  浏览/下载：215/0  |  提交时间：2019/09/30
near-infrared (NIR) spectroscopy  calibration transfer  affine invariance  multivariate calibration  partial least squares (PLS)  
Nonlinear least squares with local polynomial interpolation for quantitative analysis of IR spectra 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 卷号: 206, 页码: 147-153
作者:  Wu, Yifan;  Peng, Silong;  Xie, Qiong;  Xu, Pengcheng
浏览  |  Adobe PDF(1404Kb)  |  收藏  |  浏览/下载：313/84  |  提交时间：2019/04/29
Spectroscopy  Quantitative analysis  Nonlinear least squares  Local polynomial interpolation  
An improved weighted multiplicative scatter correction algorithm with the use of variable selection: Application to near-infrared spectra 期刊论文
Chemometrics and Intelligent Laboratory Systems, 2019, 期号: 185, 页码: 114-121
作者:  Yifan Wu;  Silong Peng;  Qiong Xie;  Quanjie Han;  Genwei Zhang;  Haigang Sun
浏览  |  Adobe PDF(1486Kb)  |  收藏  |  浏览/下载：260/62  |  提交时间：2019/04/29
Multiplicative Scatter Correction  Weighted Least Squares  Variable Selection  Model Population Analysis  
Simultaneous spectrum fitting and baseline correction using sparse representation 期刊论文
ANALYST, 2017, 卷号: 142, 期号: 13, 页码: 2460-2468
作者:  Han, Quanjie;  Xie, Qiong;  Peng, Silong;  Guo, Baokui
浏览  |  Adobe PDF(2058Kb)  |  收藏  |  浏览/下载：364/97  |  提交时间：2017/09/12
Sparse Representation  
Simultaneous spectrum fitting and baseline correction using sparse representation 期刊论文
Analyst, 2017, 期号: 142, 页码: 2460-2468
作者:  Han QJ(韩权杰);  Xie Q(谢琼);  Peng SL(彭思龙);  Guo BK(郭宝奎)
浏览  |  Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：240/69  |  提交时间：2019/04/24
Sparse Representation  Spectrum Fitting  Baseline Correction