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Mohamed Kouider Amar

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2026
[j2]
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  dblp key:
  - journals/jcisd/AmarHTBRLAHZSJ26
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  persistent URL:
  - https://dblp.org/rec/journals/jcisd/AmarHTBRLAHZSJ26
Mohamed Kouider Amar, Mohamed Hentabli, Nabil Touzout, Ilhem Bouaziz, Soufiane Rahal, Maamar Laidi, Abdeltif Amrane, Salah Hanini, Jie Zhang, Muhammad Farhan Saeed, Aftab Jamal:
Interpretable Yield Prediction of Supercritical CO ₂ Extraction from Various Essential Oil Sources Using Optimized Machine Learning and PCA-Based Descriptors. J. Chem. Inf. Model. 66(1): 194-215 (2026)
2025
[j1]
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  dblp key:
  - journals/cbm/AmarMH25
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  - https://dblp.org/rec/journals/cbm/AmarMH25
Mohamed Kouider Amar, Hamza Moussa, Mohamed Hentabli:
Predicting the anticancer activity of indole derivatives: A novel GP-tree-based QSAR model optimized by ALO with insights from molecular docking and decision-making methods. Comput. Biol. Medicine 189: 109988 (2025)

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last updated on 2026-02-05 00:09 CET by the dblp team

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.