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10771 |
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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|
|
10772 |
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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10773 |
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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10774 |
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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|
10775 |
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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10776 |
Optimizing Air Quality Monitoring: Comparative Analysis of Linear Regression and Machine Learning in Low-Cost Sensor Calibration
Enthalten in Aerosol and Air Quality Research Bd. 25, 10.4.2025, Nr. 1-4, date:4.2025: 1-17
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10777 |
Optimizing and extending ion dielectric polarizability database for microwave frequencies using machine learning methods
Enthalten in npj computational materials Bd. 9, 28.7.2023, Nr. 1, date:12.2023: 1-10
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10778 |
Optimizing anomaly-based attack detection using classification machine learning
Enthalten in Neural computing & applications Bd. 36, 20.12.2023, Nr. 6, date:2.2024: 3239-3257
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10779 |
Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing
Enthalten in Biochar Bd. 7, 20.1.2025, Nr. 1, date:12.2025: 1-8
|
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10780 |
Optimizing campus-wide COVID-19 test notifications with interpretable wastewater time-series features using machine learning models
Enthalten in Scientific reports Bd. 13, 24.11.2023, Nr. 1, date:12.2023: 1-13
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