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1111 |
Machine learning techniques and multivariable mathematical models for predicting modified soil compaction parameters based on particle size and consistency limits
Enthalten in Modeling earth systems and environment Bd. 11, 8.1.2025, Nr. 1, date:2.2025: 1-46
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1112 |
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
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1113 |
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
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1114 |
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
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1115 |
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
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1116 |
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
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1117 |
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
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1118 |
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
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1119 |
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
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1120 |
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
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