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35011 |
Wear Performance Prediction of MWCNT-Reinforced AZ31 Composite Using Machine Learning Technique
Enthalten in Journal of bio- and tribo-corrosion Bd. 9, 3.3.2023, Nr. 2, date:6.2023: 1-13
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35012 |
Wearable bracelet and machine learning for remote diagnosis and pandemic infection detection
Enthalten in Discover applied sciences Bd. 6, 19.8.2024, Nr. 9, date:9.2024: 1-19
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35013 |
Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study
Enthalten in Current medical science Bd. 44, 20.11.2024, Nr. 6, date:12.2024: 1141-1147
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35014 |
Wearable Optical Sensors: Toward Machine Learning-Enabled Biomarker Monitoring
Enthalten in Chemistry Africa Bd. 7, 16.8.2024, Nr. 8, date:10.2024: 4175-4192
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35015 |
Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-11
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35016 |
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Enthalten in Machine learning Bd. 112, 19.9.2023, Nr. 12, date:12.2023: 4763-4788
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35017 |
Web application using machine learning to predict cardiovascular disease and hypertension in mine workers
Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-14
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35018 |
WEIBULL MULTIPLICATIVE MODEL AND MACHINE LEARNING MODELS FOR FULL-AUTOMATIC DARK-SPOT DETECTION FROM SAR IMAGES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W3, 2013: 421-424
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35019 |
Weight factor and priority-based virtual machine load balancing model for cloud computing
Enthalten in International journal of information technology Bd. 16, 23.8.2024, Nr. 8, date:12.2024: 5271-5276
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35020 |
Weighted correlation coefficient measure for intuitionistic fuzzy set based on cosine entropy measure
Enthalten in International journal of information technology Bd. 15, 13.8.2023, Nr. 7, date:10.2023: 3449-3461
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