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26471 |
Reverse chemical ecology in a moth: machine learning on odorant receptors identifies new behaviorally active agonists
Enthalten in Cellular and molecular life sciences Bd. 78, 27.8.2021, Nr. 19-20, date:10.2021: 6593-6603
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26472 |
Reverse Engineering of Mechanical and Tribological Properties of Coatings: Results of Machine Learning Algorithms
Enthalten in Physical mesomechanics Bd. 25, 24.8.2022, Nr. 4, date:8.2022: 296-305
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26473 |
Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning
Enthalten in Discover artificial intelligence Bd. 3, 20.11.2023, Nr. 1, date:12.2023: 1-22
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26474 |
Review of machine learning algorithms used in groundwater availability studies in Africa: analysis of geological and climate input variables
Enthalten in Discover water Bd. 4, 21.11.2024, Nr. 1, date:12.2024: 1-20
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26475 |
Review of machine learning and WEAP models for water allocation under climate change
Enthalten in Earth science informatics Bd. 18, 4.3.2025, Nr. 3, date:3.2025: 1-32
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26476 |
Review of machine learning application in mine blasting
Enthalten in Arabian journal of geosciences Bd. 16, 1.2.2023, Nr. 2, date:2.2023: 1-20
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26477 |
Review of Machine Learning Approach on Credit Card Fraud Detection
Enthalten in Human-centric intelligent systems Bd. 2, 5.5.2022, Nr. 1-2, date:6.2022: 55-68
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26478 |
Review of machine learning methods applied to enhanced geothermal systems
Enthalten in Environmental earth sciences Bd. 82, 20.1.2023, Nr. 3, date:2.2023: 1-19
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26479 |
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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26480 |
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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