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16481 - 16490 von 16872
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Artikel 16481 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 16482 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 16483 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 16484 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 16485 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 16486 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 16487 The rhythm of quantum algorithms
Enthalten in Soft computing Bd. 21, 11.11.2015, Nr. 6, date:3.2017: 1515-1521
Online Ressource
Artikel 16488 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 16489 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 16490 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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