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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26881 Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices
Enthalten in npj digital medicine Bd. 6, 22.12.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 26882 UNSUPERVISED METHODOLOGY TO IN-SEASON MAPPING OF SUMMER CROPS IN URUGUAY WITH MODIS EVI’S TEMPORAL SERIES AND MACHINE LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W12-2020, 2020: 171-176
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Artikel 26883 Unsupervised variational domain adaptation
Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-24
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Artikel 26884 UNSURE - A machine learning approach to cryptocurrency trading
Enthalten in Applied intelligence Bd. 54, 25.4.2024, Nr. 7, date:4.2024: 5688-5710
Online Ressource
Artikel 26885 Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms
Enthalten in Journal of youth and adolescence Bd. 53, 20.11.2023, Nr. 3, date:3.2024: 507-525
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Artikel 26886 Unveiling CM-Det: leveraging ConvMixer architecture for advanced object detection
Enthalten in International journal of information technology Bd. 16, 16.7.2024, Nr. 7, date:10.2024: 4273-4278
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Artikel 26887 Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning
Enthalten in Peer-to-peer networking and applications Bd. 17, 23.12.2023, Nr. 1, date:1.2024: 507-531
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Artikel 26888 Unveiling Marketing Potential: Harnessing Advanced Analytics and Machine Learning for Gold Membership Strategy Optimization in a Superstore
Enthalten in SN Computer Science Bd. 5, 29.3.2024, Nr. 4, date:4.2024: 1-22
Online Ressource
Artikel 26889 Unveiling sustainable tourism themes with machine learning based topic modeling
Enthalten in Discover sustainability Bd. 6, 14.4.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 26890 Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay
Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-12
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