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1221 |
Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques
Enthalten in BMC public health Bd. 24, 29.7.2024, Nr. 1, date:12.2024: 1-16
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1222 |
Predicting Code Smells and Analysis of Predictions: Using Machine Learning Techniques and Software Metrics
Enthalten in Journal of computer science and technology Bd. 35, 30.11.2020, Nr. 6, date:11.2020: 1428-1445
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1223 |
Predicting compressive strength of concrete using advanced machine learning techniques: a combined dataset approach
Enthalten in Asian journal of civil engineering Bd. 26, 8.1.2025, Nr. 3, date:3.2025: 1225-1241
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1224 |
Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques
Enthalten in Theoretical and applied climatology Bd. 155, 19.8.2024, Nr. 9, date:9.2024: 8567-8585
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1225 |
Predicting Day-Ahead Electricity Market Prices through the Integration of Macroeconomic Factors and Machine Learning Techniques
Enthalten in International journal of computational intelligence systems Bd. 17, 15.1.2024, Nr. 1, date:12.2024: 1-25
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1226 |
Predicting disc cutter wear using two optimized machine learning techniques
Enthalten in Archives of civil and mechanical engineering Bd. 24, 7.4.2024, Nr. 2, date:4.2024: 1-20
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1227 |
Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques
Enthalten in BMC cardiovascular disorders Bd. 24, 19.12.2024, Nr. 1, date:12.2024: 1-11
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1228 |
Predicting factors for survival of breast cancer patients using machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 19, 22.3.2019, Nr. 1, date:12.2019: 1-17
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1229 |
Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Enthalten in Neural computing & applications Bd. 36, 26.7.2024, Nr. 29, date:10.2024: 18387-18412
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1230 |
Predicting irrigation water quality indices in a typical mining dominated area in the Upper West region of Ghana using multiple machine learning techniques
Enthalten in Discover water Bd. 4, 15.7.2024, Nr. 1, date:12.2024: 1-23
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