Results 211 to 220 of about 25,590 (247)

Accurate analysis of coal calorific value using NIRS-XRF: Utilizing RF classification and PLSR subtype modeling

Microchemical journal (Print)
Rapid and precise measurement of the calorific value of coal is crucial for coal chemical enterprises. However, due to the wide variety of coal sources and the diverse types of coal, the matrix effect significantly reduces the accuracy of spectroscopic ...
Rui Gao, Jiaxuan Li, Lei Dong, Shuqing Wang, Yan Zhang, Lei Zhang, Zefu Ye, Zhujun Zhu, W. Yin, S. Jia   +9 more
semanticscholar   +1 more source

Rapid detection of seven indexes in sheep serum based on Raman spectroscopy combined with DOSC-SPA-PLSR-DS model.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2020
Hepatic fascioliasis, ketosis of pregnancy, toxemia of pregnancy and other common sheep diseases will directly affect the concentration (/enzymatic activity) of seven indicators, such as cortisol and high-density lipoprotein cholesterol (HDL-C) in sheep ...
Fangfang Chen, Chen Chen, Wenrong Li, Meng Xiao, Bo Yang, Ziwei Yan, Rui Gao, Shuailei Zhang, Huijie Han, Cheng Chen, X. Lv   +10 more
semanticscholar   +1 more source

Robust PCR and Robust PLSR: a Comparative Study

2004
Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) are the two most popular regression techniques in chemo-metrics. They both fit a linear relationship between two sets of variables. The responses are usually low-dimensional whereas the regressors are very numerous compared to the number of observations.
Engelen, Steve, Hubert, Mia, van den Branden, K., Verboven, Sabine   +3 more
openaire   +2 more sources

Motion Reconstruction from Sparse Accelerometer Data Using PLSR

2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012
Detailed motion reconstruction is a prerequisite of biomotion analysis and physical function assessment for a variety of scenarios. For example, biomechanical analysis can be used to assess physical activity to diagnose pathological conditions, to provide an objective measure of biomechanics for peri-operative care, and to monitor patients with ...
Charence Wong, Zhiqiang Zhang, Richard Kwasnicki, Jindong Liu, Guang-Zhong Yang   +4 more
openaire   +1 more source

CWT-PLSR for quantitative analysis of Raman spectrum

2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Quantitative analysis of Raman spectra using Surface Enhanced Raman scattering (SERS) nanoparticles has shown the potential and promising trend of development in vivo molecular imaging. Partial Least Square Regression (PLSR) methods are the state-of-the-art methods.
Shuo Li, James O. Nyagilo, Digant P. Dave, Jean Gao   +3 more
openaire   +1 more source

Quantitative Steganalysis Based on Wavelet Domain HMT and PLSR

2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, 2011
Aiming at the problem of estimation of secret message length in steganalysis, this paper presents a quantitative steganalysis method based on HMT (Hidden Markov Tree) and PLSR (Partial Least Squares Regression) to solve the problem. In this paper, three 2-State HMT models are modeled respectively for wavelet coefficients in the horizontal, vertical and
Ziwen Sun, Hui Li
openaire   +1 more source

EDXRF spectral data combined with PLSR to determine some soil fertility indicators

, 2020
In recent years many efforts have been made to overcome the conventional soil fertility analysis limitations contributing to the improvement of precision agriculture.
F. R. Santos, J. F. Oliveira, Evandro Bona, J. V. F. D. Santos, Graziela M.C. Barboza, F. Melquiades   +5 more
semanticscholar   +1 more source

Prediction of blackwood Kraft pulps yields with wood NIR–PLSR models

Wood Science and Technology, 2016
Pulp yield is an important measure of pulpwood quality, which is used regularly by the pulp and paper industry for which the possibility of using rapid methods to predict pulp yield would be very useful for screening and quality control. This work addresses the prediction of Kraft pulp yield under standard identical conditions and targeted to a kappa ...
Santos, António J., Anjos, O., Pereira, Helena   +2 more
openaire   +2 more sources

Multivariate chaotic time series prediction based on PLSR and MKELM

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP), 2015
This paper presents a method based on partial least squares regression (PLSR) and multiple kernel extreme learning machine (MKLEM) for multivariate chaotic time series prediction. At first, singular spectrum analysis (SSA) is applied for the time series extraction of complex trends and eliminating the influence of noise.
Meiling Xu, Ruiquan Zhang, Min Han
openaire   +1 more source

Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2019
Identification and development of salinity tolerant genotypes and varieties are one of the promising ways to improve productivity of salt-affected soils.
Bappa Das, K. Manohara, G. Mahajan, R. Sahoo   +3 more
semanticscholar   +1 more source