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26251 |
Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review
Enthalten in The Korean journal of chemical engineering Bd. 41, 10.5.2024, Nr. 7, date:7.2024: 1923-1953
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26252 |
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
Enthalten in Health Information Science and Systems Bd. 5, 27.9.2017, Nr. 1, date:12.2017: 1-21
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26253 |
Progressive semantic learning for unsupervised skeleton-based action recognition
Enthalten in Machine learning Bd. 114, 6.2.2025, Nr. 3, date:3.2025: 1-20
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26254 |
Progressive transfer learning for advancing machine learning-based reduced-order modeling
Enthalten in Scientific reports Bd. 14, 8.7.2024, Nr. 1, date:12.2024: 1-13
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26255 |
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning
Enthalten in BMC infectious diseases Bd. 21, 4.5.2021, Nr. 1, date:12.2021: 1-8
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26256 |
Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches
Enthalten in Scientific reports Bd. 15, 26.5.2025, Nr. 1, date:12.2025: 1-14
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26257 |
Prolonging Aluminum Reduction Cell Life Using Machine Learning
Enthalten in Journal of sustainable metallurgy Bd. 11, 25.4.2025, Nr. 2, date:6.2025: 1822-1834
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26258 |
Promising directions of machine learning for partial differential equations
Enthalten in Nature computational science Bd. 4, 28.6.2024, Nr. 7, date:7.2024: 483-494
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26259 |
Promoting head CT exams in the emergency department triage using a machine learning model
Enthalten in Neuroradiology Bd. 62, 10.10.2019, Nr. 2, date:2.2020: 153-160
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26260 |
Prompt-based contrastive learning to combat the COVID-19 infodemic
Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-24
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