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Ergebnis der Suche nach: "Machine Learning"
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34621 - 34630 von 36628
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Artikel 34621 Review on Improved Machine Learning Techniques for Predicting Chronic Diseases
Enthalten in Optical memory and neural networks Bd. 33, 25.3.2024, Nr. 1, date:3.2024: 28-46
Online Ressource
Artikel 34622 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 34623 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 34624 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 34625 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 34626 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 34627 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 34628 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 34629 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 34630 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


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