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1 Ergebnisse
1
Prediction of Band Gap using Composition-Based Features wit..:
, In:
2023 1st International Conference on Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET)
,
Ahmed Lamine, Ben Kamri
;
Cheikh Lakhdar, Ben Messaoud
;
Abdelilah, Fadla Mohamed
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICRSEtoSET56772.2023.10525411
RT T1 <cTitle>2023 1st International Conference on Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET)</cTitle>: T1 <Title>Prediction of Band Gap using Composition-Based Features with Ensemble Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10525411&Exemplar=1&LAN=DE A1 Ahmed Lamine, Ben Kamri A1 Cheikh Lakhdar, Ben Messaoud A1 Abdelilah, Fadla Mohamed A1 Khaldoun, Lefkaier Ibn YR 2023 K1 Renewable energy sources K1 Photonic band gap K1 Semiconductor materials K1 Biological system modeling K1 Ecosystems K1 Forestry K1 Prediction algorithms K1 band gap K1 machine learning (ML) K1 ensemble learning Random Forest K1 Light GBM SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICRSEtoSET56772.2023.10525411 DO https://doi.org/10.1109/ICRSEtoSET56772.2023.10525411 SF ELIB - SuUB Bremen
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