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Ergebnis der Suche nach: "Machine Learning"
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Artikel 34751 Machine learning methods for predicting the key metabolic parameters of Halomonas elongata DSM 2581 T
Enthalten in Applied microbiology and biotechnology Bd. 107, 8.7.2023, Nr. 17, date:9.2023: 5351-5365
Online Ressource
Artikel 34752 Machine learning methods for predicting the uniaxial compressive strength of the rocks: a comparative study
Enthalten in Frontiers of earth science Bd. 18, 5.6.2024, Nr. 2, date:3.2024: 400-411
Online Ressource
Artikel 34753 Machine learning methods for service placement: a systematic review
Enthalten in Artificial intelligence review Bd. 57, 17.2.2024, Nr. 3, date:3.2024: 1-64
Online Ressource
Artikel 34754 Machine learning methods for springback control in roll forming
Enthalten in International journal of material forming Bd. 18, 13.12.2024, Nr. 1, date:3.2025: 1-15
Online Ressource
Artikel 34755 Machine Learning Methods for Statistical Prediction of PM2.5 in Urban Agglomerations with Complex Terrain, Using Grenoble As an Example
Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 79, 22.3.2025, Nr. 2, date:12.2024: S774-S783
Online Ressource
Artikel 34756 Machine learning methods for the design of excitation-optimized gears in wind-energy gearboxes
Enthalten in Forschung im Ingenieurwesen Bd. 89, 11.2.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 34757 Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review
Enthalten in Environmental science and pollution research Bd. 31, 20.2.2024, Nr. 13, date:3.2024: 19085-19104
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Artikel 34758 Machine learning methods for the study of cybersickness: a systematic review
Enthalten in Brain Informatics Bd. 9, 9.10.2022, Nr. 1, date:12.2022: 1-25
Online Ressource
Artikel 34759 MACHINE LEARNING METHODS FOR UNESCO CHINESE HERITAGE: COMPLEXITY AND COMPARISONS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-2/W1-2022, 2022: 543-550. 8 S.
Online Ressource
Artikel 34760 Machine learning methods for wildfire risk assessment
Enthalten in Earth science informatics Bd. 18, 7.1.2025, Nr. 1, date:1.2025: 1-24
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