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Ergebnis der Suche nach: "Machine Learning"
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27471 - 27480 von 28640
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Artikel 27471 Survival trend and outcome prediction for pediatric Hodgkin and non-Hodgkin lymphomas based on machine learning
Enthalten in Clinical and experimental medicine Bd. 24, 18.6.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 27472 Sustainable EnergySense: a predictive machine learning framework for optimizing residential electricity consumption
Enthalten in Discover sustainability Bd. 5, 4.4.2024, Nr. 1, date:12.2024: 1-11
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Artikel 27473 Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control
Enthalten in Scientific reports Bd. 14, 7.3.2024, Nr. 1, date:12.2024: 1-21
Online Ressource
Artikel 27474 SVFX: a machine learning framework to quantify the pathogenicity of structural variants
Enthalten in Genome biology Bd. 21, 9.11.2020, Nr. 1, date:12.2020: 1-21
Online Ressource
Artikel 27475 SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants
Enthalten in Nature Communications Bd. 16, 11.3.2025, Nr. 1, date:12.2025: 1-14
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Artikel 27476 SVM directed machine learning classifier for human action recognition network
Enthalten in Scientific reports Bd. 15, 3.1.2025, Nr. 1, date:12.2025: 1-18
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Artikel 27477 SVMCTI: support vector machine based cricket talent ıdentification model
Enthalten in International journal of information technology Bd. 16, 8.1.2024, Nr. 3, date:3.2024: 1931-1944
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Artikel 27478 SVR and ARIMA models as machine learning solutions for solving the latency problem in real-time clock corrections
Enthalten in GPS solutions Bd. 26, 8.6.2022, Nr. 3, date:7.2022: 1-14
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Artikel 27479 Swarm-driven fine-tuned hybrid transfer learningarchitecture on breast ultrasound scans for advanced prognostic
Enthalten in International journal of information technology Bd. 17, 29.12.2024, Nr. 2, date:3.2025: 1031-1038
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Artikel 27480 Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Enthalten in Earth science informatics Bd. 18, 4.1.2025, Nr. 1, date:1.2025: 1-34
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