Suchergebnisse - "multi-strategy adaptive coati optimization algorithm"
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Autoren: et al.
Quelle: Biomimetics (Basel)
Biomimetics, Vol 10, Iss 5, p 323 (2025) -
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Autoren: et al.
Quelle: Biomimetics (2313-7673); May2025, Vol. 10 Issue 5, p323, 38p
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Autoren: et al.
Quelle: PLoS ONE; 8/28/2025, Vol. 20 Issue 8, p1-33, 33p
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Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study Relation: https://figshare.com/articles/dataset/The_source_of_the_fan_datasets_and_details_/30004810
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Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study Relation: https://figshare.com/articles/dataset/Experimental_results_for_marginal_sample_sets_/30004777
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Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
7
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
8
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
9
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
10
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
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Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
12
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
13
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
14
Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study -
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Autoren: et al.
Schlagwörter: Medicine, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, wind turbine blades, strategy adaptive coa, real scada data, power generation efficiency, improved objective function, dimensionality reduction technique, model optimization performance, e ., macoa, icing diagnostic model, accuracy reaches 92, diagnostic model, icing failures, diagnostic accuracy,
%22">xlink ">, vy flights, two sets, standard deviation, random forest, internal distribution, critical factors, case study
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