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26471 |
Retraction Note: Parkinson’s disease prediction and drug personalization using machine learning techniques
Enthalten in Soft computing Bd. 28, 3.9.2024, Nr. 1, date:11.2024: 359
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26472 |
Retraction Note: Predicting autism spectrum disorder from associative genetic markers of phenotypic groups using machine learning
Enthalten in Journal of ambient intelligence and humanized computing Bd. 15, 3.12.2024, Nr. 1, date:12.2024: 281
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26473 |
Retraction Note: Prediction of autism spectrum disorder from high-dimensional data using machine learning techniques
Enthalten in Soft computing Bd. 28, 27.8.2024, Nr. 1, date:11.2024: 261
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26474 |
Retraction Note: Prediction of sports fatigue degree based on spectral sensors and machine learning algorithms
Enthalten in Optical and quantum electronics Bd. 56, 17.9.2024, Nr. 10, date:10.2024: 1
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26475 |
Retraction Note: Quantum photonics based health monitoring system using music data analysis by machine learning models
Enthalten in Optical and quantum electronics Bd. 56, 25.11.2024, Nr. 12, date:12.2024: 1
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26476 |
Retraction Note: Quantum photonics based music signal analysis with optical sensor in health monitoring using machine learning model
Enthalten in Optical and quantum electronics Bd. 56, 14.11.2024, Nr. 11, date:11.2024: 1
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26477 |
Retraction Note: Radio optical network security analysis with routing in quantum computing for 5G wireless communication using blockchain machine learning model
Enthalten in Optical and quantum electronics Bd. 56, 8.10.2024, Nr. 10, date:10.2024: 1
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26478 |
Retraction Note: Research on effectiveness of college english blended teaching mode under small private online course based on machine learning
Enthalten in Discover applied sciences Bd. 6, 10.6.2024, Nr. 6, date:6.2024: 1
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26479 |
Retraction Note: Securing health care data through blockchain enabled collaborative machine learning
Enthalten in Soft computing Bd. 28, 21.8.2024, Nr. 1, date:11.2024: 309
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26480 |
Retraction Note: Security-enhanced machine learning model for diagnosis of knee joint disorders using vibroarthrographic signals
Enthalten in Soft computing Bd. 28, 3.9.2024, Nr. 1, date:11.2024: 335
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Administration
