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Ergebnis der Suche nach: "Machine Learning"
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Artikel 27081 Shabda sculptor: carving morphological excellence in Sanskrit spellcheck
Enthalten in International journal of information technology Bd. 17, 2.12.2024, Nr. 1, date:1.2025: 591-597
Online Ressource
Artikel 27082 Shadows of quantum machine learning
Enthalten in Nature Communications Bd. 15, 6.7.2024, Nr. 1, date:12.2024: 1-7
Online Ressource
Artikel 27083 Shakey: an improved cipher for protection of Iot devices
Enthalten in International journal of information technology Bd. 15, 10.8.2023, Nr. 6, date:8.2023: 3381-3390
Online Ressource
Artikel 27084 Shape optimization of corrugated tube using B-spline curve for convective heat transfer enhancement based on machine learning
Enthalten in Science China / Technological sciences Bd. 65, 19.9.2022, Nr. 11, date:11.2022: 2734-2750
Online Ressource
Artikel 27085 Shapelet-informed machine learning classifiers: A path towards precise identification of pulse-like ground motions
Enthalten in Journal of earth system science Bd. 133, 21.5.2024, Nr. 2, date:6.2024: 1-14
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Artikel 27086 Shapley value: from cooperative game to explainable artificial intelligence
Enthalten in Autonomous intelligent systems Bd. 4, 9.2.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 27087 Sharing Wireless Spectrum in the Forest Ecosystems Using Artificial Intelligence and Machine Learning
Enthalten in International journal of wireless information networks Bd. 29, 9.8.2022, Nr. 3, date:9.2022: 257-268
Online Ressource
Artikel 27088 Sharpening the A → Z (*) h signature of the Type-II 2HDM at the LHC through advanced Machine Learning
Enthalten in Journal of high energy physics Bd. 2023, 6.11.2023, Nr. 11, date:11.2023: 1-40
Online Ressource
Artikel 27089 Shear capacity assessment of perforated steel plate shear wall based on the combination of verified finite element analysis, machine learning, and gene expression programming
Enthalten in Asian journal of civil engineering Bd. 25, 16.7.2024, Nr. 7, date:11.2024: 5317-5333
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Artikel 27090 Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models
Enthalten in Frontiers of structural and civil engineering Bd. 14, 23.12.2020, Nr. 5, date:8.2020: 1097-1109
Online Ressource


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