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10781 |
Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms Enthalten in Scientific reports Bd. 15, 14.3.2025, Nr. 1, date:12.2025: 1-16
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10782 |
Optimized Machine Learning Algorithms for Predicting the Punching Shear Resistance of Flat Slabs with Transverse Reinforcement Enthalten in International journal of concrete structures and materials Bd. 18, 5.11.2024, Nr. 1, date:12.2024: 1-16
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10783 |
Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete Enthalten in AI in civil engineering Bd. 4, 1.7.2025, Nr. 1, date:12.2025: 1-32
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10784 |
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques Enthalten in Earth science informatics Bd. 18, 19.3.2025, Nr. 4, date:4.2025: 1-21
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10785 |
Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective Enthalten in BMC cardiovascular disorders Bd. 25, 20.2.2025, Nr. 1, date:12.2025: 1-28
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10786 |
Optimized machine learning mechanism for big data healthcare system to predict disease risk factor Enthalten in Scientific reports Bd. 15, 24.4.2025, Nr. 1, date:12.2025: 1-20
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10787 |
Optimized machine learning model for air quality index prediction in major cities in India Enthalten in Scientific reports Bd. 14, 21.3.2024, Nr. 1, date:12.2024: 1-18
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10788 |
Optimized Tiny Machine Learning and Explainable AI for Trustable and Energy-Efficient Fog-Enabled Healthcare Decision Support System Enthalten in International journal of computational intelligence systems Bd. 17, 2.9.2024, Nr. 1, date:12.2024: 1-28
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10789 |
Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability Enthalten in Scientific reports Bd. 13, 22.7.2023, Nr. 1, date:12.2023: 1-16
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10790 |
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S Enthalten in BioData Mining Bd. 16, 14.12.2023, Nr. 1, date:12.2023: 1-17
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