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Ergebnis der Suche nach: "Machine Learning"
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Artikel 10801 Parametric Machine Learning-Based Adaptive Sampling Algorithm for Efficient IoT Data Collection in Environmental Monitoring
Enthalten in Journal of network and systems management Bd. 33, 18.11.2024, Nr. 1, date:1.2025: 1-22
Online Ressource
Artikel 10802 Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models
Enthalten in Advanced modeling and simulation in engineering sciences Bd. 7, 18.11.2020, Nr. 1, date:12.2020: 1-16
Online Ressource
Artikel 10803 Parkinson’s Disease Detection by Using Machine Learning Method based on Local Classification on Class Boundary
Enthalten in Discover applied sciences Bd. 6, 28.10.2024, Nr. 11, date:11.2024: 1-12
Online Ressource
Artikel 10804 Part of speech tagging: a systematic review of deep learning and machine learning approaches
Enthalten in Journal of Big Data Bd. 9, 24.1.2022, Nr. 1, date:12.2022: 1-25
Online Ressource
Artikel 10805 Partial discharge localization in power transformer tanks using machine learning methods
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 10806 Partial transport for point-cloud registration
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 18.2.2025, Nr. 1, date:6.2025: 1-51
Online Ressource
Artikel 10807 Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Enthalten in Scientific reports Bd. 9, 5.3.2019, Nr. 1, date:12.2019: 1-10
Online Ressource
Artikel 10808 Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning
Enthalten in Advances in aerodynamics Bd. 3, 23.9.2021, Nr. 1, date:12.2021: 1-14
Online Ressource
Artikel 10809 Partitioned least squares
Enthalten in Machine learning Bd. 113, 15.7.2024, Nr. 9, date:9.2024: 6839-6869
Online Ressource
Artikel 10810 Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response
Enthalten in Diagnostic pathology Bd. 18, 11.11.2023, Nr. 1, date:12.2023: 1-12
Online Ressource


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