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Artikel 16491 The prediction of profile deviations from multi process machining of complex geometrical features using combined evolutionary and neural network algorithms with embedded simulation
Enthalten in Journal of intelligent manufacturing Bd. 29, 18.11.2015, Nr. 6, date:8.2018: 1171-1189
Online Ressource
Artikel 16492 The rainfall-runoff model GR4J optimization of parameter by genetic algorithms and Gauss-Newton method: application for the watershed Ourika (High Atlas, Morocco)
Enthalten in Arabian journal of geosciences Bd. 10, 8.8.2017, Nr. 15, date:8.2017: 1-12
Online Ressource
Artikel 16493 The refinement-schemes-based unified algorithms for certain nth order linear and nonlinear differential equations with a set of constraints
Enthalten in Advances in difference equations Bd. 2021, 23.2.2021, Nr. 1, date:12.2021: 1-16
Online Ressource
Artikel 16494 The regulatory algorithm (RGA): a two-dimensional extension of evolutionary algorithms
Enthalten in Soft computing Bd. 20, 3.3.2015, Nr. 5, date:5.2016: 2067-2075
Online Ressource
Artikel 16495 The remarkable potential of machine learning algorithms in estimating water permeability of concrete incorporating nano natural pozzolana
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-22
Online Ressource
Artikel 16496 The revised algorithms of fuzzy variance and an application to portfolio selection
Enthalten in Soft computing Bd. 14, 3.3.2009, Nr. 4, date:2.2010: 329-337
Online Ressource
Artikel 16497 The rhythm of quantum algorithms
Enthalten in Soft computing Bd. 21, 11.11.2015, Nr. 6, date:3.2017: 1515-1521
Online Ressource
Artikel 16498 The risk of shortcutting in deep learning algorithms for medical imaging research
Enthalten in Scientific reports Bd. 14, 25.11.2024, Nr. 1, date:12.2024: 1-7
Online Ressource
Artikel 16499 The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review
Enthalten in Patient safety in surgery Bd. 18, 20.6.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 16500 The Role of Machine Learning Algorithms in Materials Science: A State of Art Review on Industry 4.0
Enthalten in Archives of computational methods in engineering Bd. 28, 22.10.2020, Nr. 5, date:8.2021: 3361-3381
Online Ressource


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