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Ergebnis der Suche nach: "Machine Learning"
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26321 - 26330 von 28787
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Artikel 26321 Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework
Enthalten in Scientific reports Bd. 9, 30.5.2019, Nr. 1, date:12.2019: 1-10
Online Ressource
Artikel 26322 Quantifying uncertainty in machine learning classifiers for medical imaging
Enthalten in International journal of computer assisted radiology and surgery Bd. 17, 12.3.2022, Nr. 4, date:4.2022: 711-718
Online Ressource
Artikel 26323 Quantifying wood decomposition by insects and fungi using computed tomography scanning and machine learning
Enthalten in Scientific reports Bd. 12, 27.9.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26324 QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
Enthalten in European radiology experimental Bd. 7, 22.3.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 26325 Quantitative Analysis of X-Ray Spectral Data for a Mixture of Compounds Using Machine-Learning Algorithms
Enthalten in Journal of surface investigation Bd. 15, 25.6.2021, Nr. 3, date:5.2021: 495-501
Online Ressource
Artikel 26326 Quantitative and qualitative evaluation of TCP target ports through active network telescope
Enthalten in International journal of information technology Bd. 16, 12.4.2024, Nr. 5, date:6.2024: 3177-3191
Online Ressource
Artikel 26327 Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification
Enthalten in Integrating materials and manufacturing innovation Bd. 12, 13.2.2023, Nr. 1, date:3.2023: 70-81
Online Ressource
Artikel 26328 Quantitative Classification and Prediction of Diagenetic Facies in Tight Gas Sandstone Reservoirs via Unsupervised and Supervised Machine Learning Models: Ledong Area, Yinggehai Basin
Enthalten in Natural resources research Bd. 32, 21.9.2023, Nr. 6, date:12.2023: 2685-2710
Online Ressource
Artikel 26329 Quantitative classification evaluation model for tight sandstone reservoirs based on machine learning
Enthalten in Scientific reports Bd. 14, 5.9.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 26330 Quantitative design rules for protein-resistant surface coatings using machine learning
Enthalten in Scientific reports Bd. 9, 22.1.2019, Nr. 1, date:12.2019: 1-12
Online Ressource


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