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26481 |
Review of Models of Modals: from Pragmatics and Corpus Linguistics to Machine Learning Ilse Depraetere, Bert Cappelle, Martin Hilpert, Ludovic De Cuypere, Mathieu Dehouck, Pascal Denis, Susanne Flach, Natalia Grabar, Cyril Grandin, Thierry Hamon, Clemens Hufeld, Benoît Leclercq and Hans-Jörg Schmid, De Gruyter Mouton, Berlin, 2023 (Hardback), ISBN: 978-3-11-073861-2
Enthalten in Corpus pragmatics Bd. 7, 14.6.2023, Nr. 3, date:9.2023: 297-302
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26482 |
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
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26483 |
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
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26484 |
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
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26485 |
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
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26486 |
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
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26487 |
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
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26488 |
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
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26489 |
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
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26490 |
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
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