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Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10203-4
Abstract: Ensemble learning has become a cornerstone in various classification and regression tasks, leveraging its robust learning capacity across disciplines. However, the computational time and memory constraints associated with almost all-learners-based ensembles necessitate efficient approaches. Ensemble…
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Keywords:
metaheuristic based;
selective ensembles;
based ensemble;
ensemble learning ... See more keywords
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Published in 2020 at "ACS energy letters"
DOI: 10.1021/acsenergylett.0c01777
Abstract: Copper catalysts are unique in CO2 reduction as they allow the formation of C2+ products. Depending on the catalysts’ synthesis, product distribution varies significantly: while Cu nanoparticles pr...
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Keywords:
co2 reduction;
selective ensembles;
copper catalysts;
active selective ... See more keywords