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12421 |
Statistical Analysis and Automation Through Machine Learning of Resonant Ultrasound Spectroscopy Data from Tests Performed on Complex Additively Manufactured Parts
Enthalten in Journal of nondestructive evaluation Bd. 43, 24.1.2024, Nr. 1, date:3.2024: 1-12
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12422 |
Statistical analysis of helium bubbles in transmission electron microscopy images based on machine learning method
Enthalten in Nuclear science and techniques Bd. 32, 26.5.2021, Nr. 5, date:5.2021: 1-11
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12423 |
Statistical and machine learning analysis of diesel engines fueled with Moringa oleifera biodiesel doped with 1-hexanol and Zr2O3 nanoparticles
Enthalten in Scientific reports Bd. 15, 1.3.2025, Nr. 1, date:12.2025: 1-34
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12424 |
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
Enthalten in Genome biology Bd. 23, 25.3.2022, Nr. 1, date:12.2022: 1-23
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12425 |
Statistical and machine learning models for predicting spalling in CRCP
Enthalten in Scientific reports Bd. 14, 12.9.2024, Nr. 1, date:12.2024: 1-18
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12426 |
Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning
Enthalten in Scientific reports Bd. 14, 21.4.2024, Nr. 1, date:12.2024: 1-23
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12427 |
Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power
Enthalten in Protection and control of modern power systems Bd. 7, 18.2.2022, Nr. 1, date:12.2022: 1-13
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12428 |
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Enthalten in Scientific reports Bd. 8, 21.5.2018, Nr. 1, date:12.2018: 1-10
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12429 |
Statistical models versus machine learning approach for competing risks in proctological surgery
Enthalten in Updates in surgery Bd. 77, 25.1.2025, Nr. 2, date:4.2025: 333-341
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12430 |
Statistical models versus machine learning for competing risks: development and validation of prognostic models
Enthalten in BMC medical research methodology Bd. 23, 24.2.2023, Nr. 1, date:12.2023: 1-14
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