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35711 |
Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.4.2024, Nr. 5, date:9.2024: 814-820
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35712 |
Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
Enthalten in Modeling earth systems and environment Bd. 10, 6.8.2024, Nr. 5, date:10.2024: 6255-6277
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35713 |
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning
Enthalten in BMC infectious diseases Bd. 24, 19.10.2024, Nr. 1, date:12.2024: 1-20
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35714 |
Unraveling Magnesium Alloy Corrosion Patterns Through Unsupervised Machine Learning: Exploring Clustering Techniques for Enhanced Insight
Enthalten in JOM Bd. 76, 5.6.2024, Nr. 8, date:8.2024: 4388-4403
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35715 |
Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Enthalten in Social network analysis and mining Bd. 14, 4.4.2024, Nr. 1, date:12.2024: 1-33
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35716 |
Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-18
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35717 |
Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation
Enthalten in Journal of biological engineering Bd. 18, 26.7.2024, Nr. 1, date:12.2024: 1-24
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35718 |
Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods
Enthalten in BMC infectious diseases Bd. 25, 15.4.2025, Nr. 1, date:12.2025: 1-18
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35719 |
Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends
Enthalten in Analytical and bioanalytical chemistry Bd. 415, 3.3.2023, Nr. 18, date:7.2023: 3945-3966
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35720 |
Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach
Enthalten in The Japanese economic review Bd. 75, 18.11.2024, Nr. 4, date:12.2024: 691-737
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Administration
