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Ergebnis der Suche nach: "Machine Learning"
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27641 - 27650 von 28224
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Artikel 27641 Unconfined compressive strength prediction of rock materials based on machine learning
Enthalten in Journal of engineering and applied science Bd. 71, 19.6.2024, Nr. 1, date:12.2024: 1-32
Online Ressource
Artikel 27642 Unconfined Compressive Strength Prediction of Soils Improved with Biopolymers: Machine Learning Approach
Enthalten in Transportation infrastructure geotechnology Bd. 12, 9.11.2024, Nr. 1, date:1.2025: 1-32
Online Ressource
Artikel 27643 Uncover the balanced geometry in long-tailed contrastive language-image pretraining
Enthalten in Machine learning Bd. 114, 24.2.2025, Nr. 4, date:4.2025: 1-33
Online Ressource
Artikel 27644 Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Enthalten in Molecular cancer Bd. 20, 28.8.2021, Nr. 1, date:12.2021: 1-22
Online Ressource
Artikel 27645 Uncovering Chronic Conditions using Featured-based Clustering Approach
Enthalten in International journal of information technology Bd. 17, 19.3.2025, Nr. 4, date:5.2025: 2221-2228
Online Ressource
Artikel 27646 Uncovering doubly charged scalars with dominant three-body decays using machine learning
Enthalten in Journal of high energy physics Bd. 2023, 2.11.2023, Nr. 11, date:11.2023: 1-30
Online Ressource
Artikel 27647 Uncovering drone intentions using control physics informed machine learning
Enthalten in Communications engineering Bd. 3, 24.2.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 27648 Uncovering gene and cellular signatures of immune checkpoint response via machine learning and single-cell RNA-seq
Enthalten in npj precision oncology Bd. 9, 2.4.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 27649 Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision
Enthalten in Biology direct Bd. 20, 21.1.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 27650 Uncovering hidden states driving biological outcomes using machine learning
Enthalten in Nature methods Bd. 21, 19.2.2024, Nr. 5, date:5.2024: 758-759
Online Ressource


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