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26851 - 26860 von 32709

	26851	Machine Learning Techniques and Population-Based Metaheuristics for Damage Detection and Localization Through Frequency and Modal-Based Structural Health Monitoring: A Review Enthalten in Archives of computational methods in engineering Bd. 29, 16.8.2022, Nr. 6, date:10.2022: 3541-3565
	26852	Machine Learning Techniques for Anomaly Detection in High-Frequency Time Series of Wind Speed and Greenhouse Gas Concentration Measurements Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S138-S148
	26853	Machine learning techniques for arrhythmic risk stratification: a review of the literature Enthalten in International journal of arrhythmia Bd. 23, 1.4.2022, Nr. 1, date:12.2022: 1-13
	26854	Machine learning techniques for coffee classification: a comprehensive review of scientific research Enthalten in Artificial intelligence review Bd. 58, 11.11.2024, Nr. 1, date:1.2025: 1-45
	26855	Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging Enthalten in Advances in rheumatology Bd. 60, 7.5.2020, Nr. 1, date:12.2020: 1-10
	26856	Machine learning techniques for credit risk evaluation: a systematic literature review Enthalten in Journal of banking and financial technology Bd. 4, 10.6.2020, Nr. 1, date:4.2020: 111-138
	26857	Machine learning techniques for default prediction: an application to small Italian companies Enthalten in Risk management Bd. 26, 15.11.2023, Nr. 1, date:2.2024: 1-23
	26858	Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images Enthalten in Biomedical engineering online Bd. 16, 7.6.2017, Nr. 1, date:12.2017: 1-12
	26859	Machine learning techniques for differentiating psychrophilic and non-psychrophilic bacterial α/β hydrolase enzymes Enthalten in Biologia Bd. 80, 7.4.2025, Nr. 6, date:6.2025: 1557-1564
	26860	Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma Enthalten in Scientific reports Bd. 12, 11.7.2022, Nr. 1, date:12.2022: 1-15

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