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Showing results (11-20 of 40) with videos related to

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Journal of Colloid and Interface Science|August 22, 2006
The accurate QSPR models for the prediction of nonionic surfactant cloud pointYueying Ren, Huanxiang Liu, Xiaojun Yao, et al.
Talanta|December 17, 2008
Prediction of surface tension for common compounds based on novel methods using heuristic method and support vector machineJie Wang, Hongying Du, Huanxiang Liu, et al.
Chemosphere|October 18, 2005
The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machineHuanxiang Liu, Xiaojun Yao, Ruisheng Zhang, et al.
Ecotoxicology and Environmental Safety|October 28, 2008
Rapid toxicity prediction of organic chemicals to Chlorella vulgaris using quantitative structure-activity relationships methodsBinbin Xia, Kunping Liu, Zhiguo Gong, et al.
Talanta|October 31, 2008
Prediction of gas chromatographic retention indices by the use of radial basis function neural networksXiaojun Yao, Xiaoyun Zhang, Ruisheng Zhang, et al.
Electrophoresis|April 27, 2005
Development of migration models for acids in capillary electrophoresis using heuristic and radial basis function neural network methodsChunxia Xue, Xiaojun Yao, Huanxiang Liu, et al.
Analytica Chimica Acta|August 29, 2007
Classification study of skin sensitizers based on support vector machine and linear discriminant analysisYueying Ren, Huanxiang Liu, Chunxia Xue, et al.
Analytica Chimica Acta|March 28, 2007
Structure-activity relationship study of oxindole-based inhibitors of cyclin-dependent kinases based on least-squares support vector machinesJiazhong Li, Huanxiang Liu, Xiaojun Yao, et al.
The Journal of Physical Chemistry. B|July 21, 2006
Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machineHuanxiang Liu, Xiaojun Yao, Ruisheng Zhang, et al.
The Analyst|October 27, 2006
Accurate quantitative structure-property relationship model of mobilities of peptides in capillary zone electrophoresisWeiping Ma, Feng Luan, Haixia Zhang, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
Journal of Colloid and Interface Science|August 22, 2006
The accurate QSPR models for the prediction of nonionic surfactant cloud pointYueying Ren, Huanxiang Liu, Xiaojun Yao, et al.
Talanta|December 17, 2008
Prediction of surface tension for common compounds based on novel methods using heuristic method and support vector machineJie Wang, Hongying Du, Huanxiang Liu, et al.
Chemosphere|October 18, 2005
The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machineHuanxiang Liu, Xiaojun Yao, Ruisheng Zhang, et al.
Ecotoxicology and Environmental Safety|October 28, 2008
Rapid toxicity prediction of organic chemicals to Chlorella vulgaris using quantitative structure-activity relationships methodsBinbin Xia, Kunping Liu, Zhiguo Gong, et al.
Talanta|October 31, 2008
Prediction of gas chromatographic retention indices by the use of radial basis function neural networksXiaojun Yao, Xiaoyun Zhang, Ruisheng Zhang, et al.
Electrophoresis|April 27, 2005
Development of migration models for acids in capillary electrophoresis using heuristic and radial basis function neural network methodsChunxia Xue, Xiaojun Yao, Huanxiang Liu, et al.
Analytica Chimica Acta|August 29, 2007
Classification study of skin sensitizers based on support vector machine and linear discriminant analysisYueying Ren, Huanxiang Liu, Chunxia Xue, et al.
Analytica Chimica Acta|March 28, 2007
Structure-activity relationship study of oxindole-based inhibitors of cyclin-dependent kinases based on least-squares support vector machinesJiazhong Li, Huanxiang Liu, Xiaojun Yao, et al.
The Journal of Physical Chemistry. B|July 21, 2006
Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machineHuanxiang Liu, Xiaojun Yao, Ruisheng Zhang, et al.
The Analyst|October 27, 2006
Accurate quantitative structure-property relationship model of mobilities of peptides in capillary zone electrophoresisWeiping Ma, Feng Luan, Haixia Zhang, et al.
Pageof 4