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Ergebnis der Suche nach: "Machine Learning"
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Artikel 10731 Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform
Enthalten in Scientific reports Bd. 13, 17.10.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 10732 Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 10733 Novel applications of Machine Learning in cheminformatics
Enthalten in Journal of cheminformatics Bd. 10, 6.9.2018, Nr. 1, date:12.2018: 1-2
Online Ressource
Artikel 10734 NOVEL APPROACHES TO ENHANCE CORAL REEFS MONITORING WITH UNDERWATER IMAGE SEGMENTATION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-3/W1-2022, 2022: 271-277. 7 S.
Online Ressource
Artikel 10735 Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach
Enthalten in BMC pulmonary medicine Bd. 20, 3.2.2020, Nr. 1, date:12.2020: 1-13
Online Ressource
Artikel 10736 Novel criteria to classify ARDS severity using a machine learning approach
Enthalten in Critical care Bd. 25, 20.4.2021, Nr. 1, date:12.2021: 1-9
Online Ressource
Artikel 10737 Novel estimation technique for the carrier-to-noise ratio of wireless medical telemetry using software-defined radio with machine-learning
Enthalten in Scientific reports Bd. 13, 13.3.2023, Nr. 1, date:12.2023: 1-8
Online Ressource
Artikel 10738 Novel Hellinger clustering method for efficient ECG optimized classification
Enthalten in International journal of information technology Bd. 17, 28.11.2024, Nr. 1, date:1.2025: 237-245
Online Ressource
Artikel 10739 Novel Hybrid Machine Learning Algorithms for Lakes Evaporation and Power Production using Floating Semitransparent Polymer Solar Cells
Enthalten in Water resources management Bd. 37, 18.8.2023, Nr. 12, date:9.2023: 4639-4661
Online Ressource
Artikel 10740 Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data
Enthalten in Journal of petroleum exploration and production technology Bd. 11, 9.10.2021, Nr. 12, date:12.2021: 4375-4397
Online Ressource


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