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Nacerddine Haddaoui

University of Ferhat Abbas Setif 1

Setif, 19000

Algeria

SCHOLARLY PAPERS

1

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35

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0

Scholarly Papers (1)

1.

Machine Learning Prediction Models for PANI/Graphene Nanocomposites: Electrical Conductivity and Gas Sensing Performance

Number of pages: 1394 Posted: 30 Aug 2023
University of Ferhat Abbas Setif 1, University of Ferhat Abbas Setif 1, University of Ferhat Abbas Setif 1, University of Lorraine, Khalifa University of Science and Technology - Department of Chemical Engineering, Khalifa University of Science and Technology - Department of Chemical Engineering, Khalifa University of Science and Technology - Department of Chemical Engineering, Khalifa University of Science and Technology - Department of Chemical Engineering, Madhyanchal Professional University - Faculty of Science and Technology, King Saud University - Department of Chemistry, Hanyang University - Department of Earth Resources and Environmental Engineering and University of Ferhat Abbas Setif 1
Downloads 35 (1,277,121)

Abstract:

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Polyaniline, Graphene, Conductivity, Gas sensors, Machine learning, Artificial neural networks