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Ergebnis der Suche nach: "Machine Learning"
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26841 - 26850 von 32709
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Artikel 26841 Machine learning survival prediction using tumor lipid metabolism genes for osteosarcoma
Enthalten in Scientific reports Bd. 14, 5.6.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26842 Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells
Enthalten in Nano-Micro letters Bd. 17, 23.5.2025, Nr. 1, date:12.2025: 1-21
Online Ressource
Artikel 26843 Machine learning technique-based emotion classification using speech signals
Enthalten in Soft computing Bd. 27, 20.4.2023, Nr. 12, date:6.2023: 8331-8343
Online Ressource
Artikel 26844 Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control study
Enthalten in BMC medicine Bd. 23, 23.4.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 26845 Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
Enthalten in Optical and quantum electronics Bd. 56, 20.9.2024, Nr. 10, date:10.2024: 1-25
Online Ressource
Artikel 26846 Machine learning technique for breast cancer detection and classification
Enthalten in Machine learning for computational science and engineering Bd. 1, 4.4.2025, Nr. 1, date:6.2025: 1-19
Online Ressource
Artikel 26847 Machine learning technique for carbon sequestration estimation of mango orchards area using Sentinel-2 Data
Enthalten in Carbon research Bd. 4, 27.3.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 26848 Machine learning technique for generation of human readable rules to detect software code smells in open-source software
Enthalten in Life cycle reliability and safety engineering Bd. 13, 20.7.2024, Nr. 3, date:9.2024: 277-291
Online Ressource
Artikel 26849 Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 28, 9.1.2024, Nr. 2, date:2.2024: 817-835
Online Ressource
Artikel 26850 Machine learning techniques and multivariable mathematical models for predicting modified soil compaction parameters based on particle size and consistency limits
Enthalten in Modeling earth systems and environment Bd. 11, 8.1.2025, Nr. 1, date:2.2025: 1-46
Online Ressource


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