An improved opposition-based crow search algorithm for biodegradable material classification-Reference-Cited by-同舟云学术

An improved opposition-based crow search algorithm for biodegradable material classification

Published:2022-04-26 Issue:5 Volume:33 Page:403-415
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Al-Fakih A.M.¹^ORCID,Algamal Z.Y.²^ORCID,Qasim M.K.³

Affiliation:

1. Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia and Department of Chemistry, Faculty of Science, Sana’a University, Sana’a, Yemen

2. Department of Statistics and Informatics, University of Mosul, Mosul, Iraq

3. Department of General Science, University of Mosul, Mosul, Iraq

Funder

funding

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2022.2064546

Reference46 articles.

1. A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals

2. Evaluation of Artificial Intelligence Based Models for Chemical Biodegradability Prediction

3. Prediction of chemical biodegradability using computational methods

4. Classification of biodegradable materials using QSAR modelling with uncertainty estimation

5. Qualitative and quantitative structure–activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals

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