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26691 |
Recent trends and perspectives of artificial intelligence-based machine learning from discovery to manufacturing in biopharmaceutical industry
Enthalten in Journal of pharmaceutical investigation Bd. 53, 2.11.2023, Nr. 6, date:11.2023: 803-826
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26692 |
Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms
Enthalten in Journal of business economics Bd. 90, 5.9.2020, Nr. 7, date:8.2020: 963-974
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26693 |
Recognising small colour changes with unsupervised learning, comparison of methods
Enthalten in Advances in computational intelligence Bd. 4, 16.4.2024, Nr. 2, date:6.2024: 1-13
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26694 |
Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models
Enthalten in Scientific reports Bd. 9, 10.5.2019, Nr. 1, date:12.2019: 1-16
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26695 |
Recognition of Church Slavonic Texts Using Machine Learning Methods
Enthalten in Pattern recognition and image analysis Bd. 34, 10.4.2024, Nr. 1, date:3.2024: 212-218
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26696 |
Recognition of early and late stages of bladder cancer using metabolites and machine learning
Enthalten in Metabolomics Bd. 15, 20.6.2019, Nr. 7, date:7.2019: 1-15
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26697 |
Recognition of Parkinson’s ailment by using various machine learning procedures
Enthalten in Current psychology Bd. 43, 18.11.2024, Nr. 45, date:12.2024: 34579-34600
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26698 |
Recognition of Specific Genome Regions Using Machine Learning Methods
Enthalten in Pattern recognition and image analysis Bd. 34, 6.4.2025, Nr. 4, date:12.2024: 924-929
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26699 |
Recognizing Drone Swarm Activities: Classical versus Quantum Machine Learning
Enthalten in Digitale Welt Bd. 3, 2.9.2019, Nr. 4, date:10.2019: 45-50
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26700 |
Recognizing lines of code violating company-specific coding guidelines using machine learning
Enthalten in Empirical software engineering Bd. 25, 14.11.2019, Nr. 1, date:1.2020: 220-265
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