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Ergebnis der Suche nach: "Machine Learning"
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26601 - 26610 von 28136
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Artikel 26601 Smart Production and Manufacturing System Using Digital Twin Technology and Machine Learning
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-10
Online Ressource
Artikel 26602 Smartpathk: a platform for teaching glomerulopathies using machine learning
Enthalten in BMC medical education Bd. 21, 29.4.2021, Nr. 1, date:12.2021: 1-8
Online Ressource
Artikel 26603 Smartphone based human activity recognition irrespective of usage behavior using deep learning technique
Enthalten in International journal of information technology Bd. 17, 29.11.2024, Nr. 1, date:1.2025: 69-85
Online Ressource
Artikel 26604 SMARTPHONE LEVEL INDOOR/OUTDOOR UBIQUITOUS PEDESTRIAN POSITIONING 3DMA GNSS/VINS INTEGRATION USING FGO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W1-2023, 2023: 175-182. 8 S.
Online Ressource
Artikel 26605 Smartphone-sensor-based human activities classification for forensics: a machine learning approach
Enthalten in Journal of electrical systems and information technology Bd. 11, 14.8.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 26606 Smartphones dependency risk analysis using machine-learning predictive models
Enthalten in Scientific reports Bd. 12, 31.12.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26607 Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
Enthalten in Current psychiatry reports Bd. 20, 28.6.2018, Nr. 7, date:7.2018: 1-6
Online Ressource
Artikel 26608 Smoke testing for machine learning: simple tests to discover severe bugs
Enthalten in Empirical software engineering Bd. 27, 21.1.2022, Nr. 2, date:3.2022: 1-30
Online Ressource
Artikel 26609 Smooth input preparation for quantum and quantum-inspired machine learning
Enthalten in Quantum machine intelligence Bd. 3, 26.4.2021, Nr. 1, date:6.2021: 1-6
Online Ressource
Artikel 26610 SMOTE and ExtraTreesRegressor based random forest technique for predicting Australian rainfall
Enthalten in International journal of information technology Bd. 15, 1.3.2023, Nr. 3, date:3.2023: 1679-1687
Online Ressource


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