Volume 151

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Chemometrics and Intelligent Laboratory Systems
Volume 151

Chemometrics and Intelligent Laboratory Systems

Volume 151

1

Chemometric approach to fatty acid metabolism-distribution networks and methane production in ruminal microbiome

Liu, Yong, Peñuelas-Rivas, Claudia Giovanna, Tenorio-Borroto, Esvieta, Rivas-Guevara, María, Buendía-Rodríguez, Germán, Tan, Zhiliang, González-Díaz, Humberto

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 625 KB

english, 2016

2

Direct DNA quantification in cell lysates by fluorometric method in combination with an advanced chemometric model

Kong, Jing-Jing, Chen, Zeng-Ping, Chen, Yao, Yan, Xiu-Fang, Yu, Ru-Qin

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 641 KB

english, 2016

3

Robust one-class SVM for fault detection

Xiao, Yingchao, Wang, Huangang, Xu, Wenli, Zhou, Junwu

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.89 MB

english, 2016

4

State-transition-algorithm-based resolution for overlapping linear sweep voltammetric peaks with high signal ratio

Wang, Guowei, Yang, Chunhua, Zhu, Hongqiu, Li, Yonggang, Peng, Xiongwei, Gui, Weihua

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 809 KB

english, 2016

5

Improvement on enhanced Monte-Carlo outlier detection method

Zhang, Liangxiao, Wang, Du, Gao, Rongrong, Li, Peiwu, Zhang, Wen, Mao, Jin, Yu, Li, Ding, Xiaoxia, Zhang, Qi

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.22 MB

english, 2016

6

Model selection in principal covariates regression

Vervloet, Marlies, Van Deun, Katrijn, Van den Noortgate, Wim, Ceulemans, Eva

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 336 KB

english, 2016

7

Comparison of classification methods with “n-class” receiver operating characteristic curves: A case study of energy drinks

Rácz, Anita, Bajusz, Dávid, Fodor, Marietta, Héberger, Károly

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 2.14 MB

english, 2016

8

Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with partial least square

He, YanLin, Geng, ZhiQiang, Zhu, QunXiong

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.79 MB

english, 2016

9

Active probabilistic sample selection for intelligent soft sensing of industrial processes

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.25 MB

english, 2016

10

Improved PID design using new state space predictive functional control optimization based structure

Li, Haisheng, Zhang, Jianming

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 542 KB

english, 2016

11

Robustness testing in the determination of seven drugs in animal muscle by liquid chromatography–tandem mass spectrometry

Oca, M.L., Rubio, L., Ortiz, M.C., Sarabia, L.A., García, I.

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 772 KB

english, 2016

12

Enhancing quality of statistic monitoring models by training set design with active learning approach

Yan, Zhengbing, Chen, Junghui

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 2.37 MB

english, 2016

13

Model-based optimal design of experiments —Semidefinite and nonlinear programming formulations

Duarte, Belmiro P.M., Wong, Weng Kee, Oliveira, Nuno M.C.

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 492 KB

english, 2016

14

A novel local manifold-ranking based K-NN for modeling the regression between bioactivity and molecular descriptors

Shen, Liang, Cao, Dongsheng, Xu, Qingsong, Huang, Xin, Xiao, Nan, Liang, Yizeng

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 704 KB

english, 2016

15

FLOOD: FLow cytometric Orthogonal Orientation for Diagnosis

Jansen, Jeroen J., Hilvering, Bart, van den Doel, André, Pickkers, Peter, Koenderman, Leo, Buydens, Lutgarde M.C., van den Brink, Oscar F.

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 953 KB

english, 2016

16

Monitoring of operating point and process dynamics via probabilistic slow feature analysis

Guo, Feihong, Shang, Chao, Huang, Biao, Wang, Kangcheng, Yang, Fan, Huang, Dexian

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.14 MB

english, 2016

17

Dual learning-based online ensemble regression approach for adaptive soft sensor modeling of nonlinear time-varying processes

Jin, Huaiping, Chen, Xiangguang, Wang, Li, Yang, Kai, Wu, Lei

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.02 MB

english, 2016

18

Editorial Board

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 43 KB

english, 2016

19

Sampling plans for beta distributed compositional fractions

Govindaraju, K., Kissling, R.

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 495 KB

english, 2016

20

Hyperspectral image analysis of Raman maps of plant cell walls for blind spectra characterization by nonnegative matrix factorization algorithm

Szymańska-Chargot, Monika, Pieczywek, Piotr M., Chylińska, Monika, Zdunek, Artur

Journal:

Chemometrics and Intelligent Laboratory Systems

Year:

2016

Language:

english

File:

PDF, 1.80 MB

english, 2016

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