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Ergebnis der Suche nach: "Machine Learning"
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11451 - 11460 von 12558
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Artikel 11451 Revealing low-temperature plasma efficacy through a dose-rate assessment by DNA damage detection combined with machine learning models
Enthalten in Scientific reports Bd. 12, 1.11.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 11452 Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning
Enthalten in BMC medical genomics Bd. 16, 10.2.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 11453 Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis
Enthalten in BMC infectious diseases Bd. 22, 19.1.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 11454 Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis
Enthalten in BMC medical genomics Bd. 17, 19.4.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 11455 Revealing sequence variation patterns in rice with machine learning methods
Enthalten in BMC bioinformatics Bd. 9, 30.10.2008, Nr. 10, date:10.2008: 1-3
Online Ressource
Artikel 11456 Revealing sleep and pain reciprocity with wearables and machine learning
Enthalten in Communications medicine Bd. 5, 7.5.2025, Nr. 1, date:12.2025: 1-6
Online Ressource
Artikel 11457 Revealing the nature of soil liquefaction using machine learning
Enthalten in Earth science informatics Bd. 18, 21.1.2025, Nr. 2, date:2.2025: 1-27
Online Ressource
Artikel 11458 Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies
Enthalten in BioData Mining Bd. 17, 30.1.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 11459 Revelation of microcracks as tooth structural element by X-ray tomography and machine learning
Enthalten in Scientific reports Bd. 12, 28.12.2022, Nr. 1, date:12.2022: 1-14
Online Ressource
Artikel 11460 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
Online Ressource


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