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Z Y Algamal

Showing results (1-10 of 15) with videos related to

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SAR and QSAR in Environmental Research|May 25, 2019
A robust quantitative structure-activity relationship modelling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on the rank-bridge estimatorZ T Al-Dabbagh, Z Y Algamal
SAR and QSAR in Environmental Research|February 9, 2017
A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivativesZ Y Algamal, M H Lee
SAR and QSAR in Environmental Research|July 25, 2018
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machineM K Qasim, Z Y Algamal, H T Mohammad Ali
SAR and QSAR in Environmental Research|April 26, 2022
An improved opposition-based crow search algorithm for biodegradable material classificationA M Al-Fakih, Z Y Algamal, M K Qasim
SAR and QSAR in Environmental Research|May 26, 2017
A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machineZ Y Algamal, M K Qasim, H T M Ali
SAR and QSAR in Environmental Research|March 2, 2018
A penalized quantitative structure-property relationship study on melting point of energetic carbocyclic nitroaromatic compounds using adaptive bridge penaltyA M Al-Fakih, Z Y Algamal, M H Lee, et al.
SAR and QSAR in Environmental Research|September 16, 2016
High-dimensional QSAR modelling using penalized linear regression model with L1/2-normZ Y Algamal, M H Lee, A M Al-Fakih, et al.
SAR and QSAR in Environmental Research|October 5, 2017
A sparse QSRR model for predicting retention indices of essential oils based on robust screening approachA M Al-Fakih, Z Y Algamal, M H Lee, et al.
SAR and QSAR in Environmental Research|September 17, 2020
QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithmZ Y Algamal, M K Qasim, M H Lee, et al.
SAR and QSAR in Environmental Research|July 7, 2020
Quantitative structure-activity relationship model for classifying the diverse series of antifungal agents using ratio weighted penalized logistic regressionA M Alharthi, M H Lee, Z Y Algamal, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
SAR and QSAR in Environmental Research|May 25, 2019
A robust quantitative structure-activity relationship modelling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on the rank-bridge estimatorZ T Al-Dabbagh, Z Y Algamal
SAR and QSAR in Environmental Research|February 9, 2017
A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivativesZ Y Algamal, M H Lee
SAR and QSAR in Environmental Research|July 25, 2018
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machineM K Qasim, Z Y Algamal, H T Mohammad Ali
SAR and QSAR in Environmental Research|April 26, 2022
An improved opposition-based crow search algorithm for biodegradable material classificationA M Al-Fakih, Z Y Algamal, M K Qasim
SAR and QSAR in Environmental Research|May 26, 2017
A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machineZ Y Algamal, M K Qasim, H T M Ali
SAR and QSAR in Environmental Research|March 2, 2018
A penalized quantitative structure-property relationship study on melting point of energetic carbocyclic nitroaromatic compounds using adaptive bridge penaltyA M Al-Fakih, Z Y Algamal, M H Lee, et al.
SAR and QSAR in Environmental Research|September 16, 2016
High-dimensional QSAR modelling using penalized linear regression model with L1/2-normZ Y Algamal, M H Lee, A M Al-Fakih, et al.
SAR and QSAR in Environmental Research|October 5, 2017
A sparse QSRR model for predicting retention indices of essential oils based on robust screening approachA M Al-Fakih, Z Y Algamal, M H Lee, et al.
SAR and QSAR in Environmental Research|September 17, 2020
QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithmZ Y Algamal, M K Qasim, M H Lee, et al.
SAR and QSAR in Environmental Research|July 7, 2020
Quantitative structure-activity relationship model for classifying the diverse series of antifungal agents using ratio weighted penalized logistic regressionA M Alharthi, M H Lee, Z Y Algamal, et al.
Pageof 2