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1381 |
Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques
Enthalten in Research on biomedical engineering Bd. 39, 22.6.2023, Nr. 3, date:9.2023: 541-560
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1382 |
Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-11
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1383 |
Understanding live oil composition effect on asphaltene precipitation as a function of temperature change during depressurization using machine learning techniques
Enthalten in Chemical papers Bd. 79, 16.11.2024, Nr. 1, date:1.2025: 353-364
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1384 |
Unified mRNA Subcellular Localization Predictor based on machine learning techniques
Enthalten in BMC genomics Bd. 25, 7.2.2024, Nr. 1, date:12.2024: 1-18
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1385 |
Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.4.2024, Nr. 5, date:9.2024: 814-820
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1386 |
Unraveling Magnesium Alloy Corrosion Patterns Through Unsupervised Machine Learning: Exploring Clustering Techniques for Enhanced Insight
Enthalten in JOM Bd. 76, 5.6.2024, Nr. 8, date:8.2024: 4388-4403
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1387 |
Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Enthalten in Social network analysis and mining Bd. 14, 4.4.2024, Nr. 1, date:12.2024: 1-33
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1388 |
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
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1389 |
Unveiling the Cutting Edge: A Comprehensive Survey of Localization Techniques in WSN, Leveraging Optimization and Machine Learning Approaches
Enthalten in Wireless personal communications Bd. 132, 29.9.2023, Nr. 4, date:10.2023: 2293-2362
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1390 |
Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study
Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
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