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Ergebnis der Suche nach: "Machine Learning"
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27231 - 27240 von 28965
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Artikel 27231 Sense disambiguation for Punjabi language using supervised machine learning techniques
Enthalten in Sādhāna Bd. 44, 31.10.2019, Nr. 11, date:11.2019: 1-15
Online Ressource
Artikel 27232 Sensing-aided peer-to-peer millimeter-wave communication
Enthalten in International journal of information technology Bd. 16, 17.3.2024, Nr. 4, date:4.2024: 2069-2075
Online Ressource
Artikel 27233 Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration
Enthalten in Applied water science Bd. 13, 28.2.2023, Nr. 3, date:3.2023: 1-17
Online Ressource
Artikel 27234 Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Enthalten in BMC medical imaging Bd. 21, 15.2.2021, Nr. 1, date:12.2021: 1-8
Online Ressource
Artikel 27235 Sensitivity analysis of low salinity waterflood alternating immiscible CO2 injection (Immiscible CO2-LSWAG) performance using machine learning application in sandstone reservoir
Enthalten in Journal of petroleum exploration and production technology Bd. 14, 2.9.2024, Nr. 11, date:11.2024: 3055-3077
Online Ressource
Artikel 27236 Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments
Enthalten in Automatic control and computer sciences Bd. 58, 7.3.2024, Nr. 1, date:2.2024: 33-42
Online Ressource
Artikel 27237 Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking
Enthalten in Fire technology Bd. 57, 18.3.2021, Nr. 6, date:11.2021: 2981-3004
Online Ressource
Artikel 27238 Sentence-level sentiment analysis based on supervised gradual machine learning
Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 27239 Sentimatrix: sentiment analysis using GNN in healthcare
Enthalten in International journal of information technology Bd. 16, 23.9.2024, Nr. 8, date:12.2024: 5213-5219
Online Ressource
Artikel 27240 Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
Enthalten in SN Computer Science Bd. 4, 21.4.2023, Nr. 4, date:7.2023: 1-11
Online Ressource


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