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Ergebnis der Suche nach: "Machine Learning"
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26761 - 26770 von 28763
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Artikel 26761 Review on machine learning application in tissue engineering: What has been done so far? Application areas, challenges, and perspectives
Enthalten in Journal of materials science Bd. 59, 23.11.2024, Nr. 46, date:12.2024: 21222-21250
Online Ressource
Artikel 26762 Review on machine learning-based approaches for the kinematic analysis and synthesis of mechanisms
Enthalten in Frontiers of mechanical engineering Bd. 20, 24.4.2025, Nr. 2, date:4.2025: 1-23
Online Ressource
Artikel 26763 Review on Pneumonia Image Detection: A Machine Learning Approach
Enthalten in Human-centric intelligent systems Bd. 2, 4.5.2022, Nr. 1-2, date:6.2022: 31-43
Online Ressource
Artikel 26764 Review: 2D material property characterizations by machine-learning-assisted microscopies
Enthalten in Applied physics / A / Materials science & processing Bd. 129, 10.3.2023, Nr. 4, date:4.2023: 1-13
Online Ressource
Artikel 26765 Review: enhancing Additive Digital Manufacturing with supervised classification machine learning algorithms
Enthalten in The international journal of advanced manufacturing technology Bd. 133, 30.5.2024, Nr. 3-4, date:7.2024: 1027-1043
Online Ressource
Artikel 26766 Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging
Enthalten in Journal of medical systems Bd. 45, 4.1.2021, Nr. 1, date:1.2021: 1-20
Online Ressource
Artikel 26767 Reviewing machine learning of corrosion prediction in a data-oriented perspective
Enthalten in npj Materials degradation Bd. 6, 26.1.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 26768 Reviews and prospects in satellite range scheduling problem
Enthalten in Autonomous intelligent systems Bd. 3, 18.10.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 26769 Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges
Enthalten in Hydrogeology journal Bd. 29, 20.9.2021, Nr. 8, date:12.2021: 2671-2683
Online Ressource
Artikel 26770 Revised Empirical Relations Between Earthquake Source and Rupture Parameters by Regression and Machine Learning Algorithms
Enthalten in Pure and applied geophysics Bd. 180, 5.9.2023, Nr. 10, date:10.2023: 3477-3494
Online Ressource


26761 - 26770 von 28763
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