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26831 |
Retraction Note: Optical wearable sensor based player injury detection with movement analysis using hybrid machine learning model
Enthalten in Optical and quantum electronics Bd. 56, 14.11.2024, Nr. 11, date:11.2024: 1
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26832 |
Retraction Note: Optical wireless communication based mobile edge computing integrated channel allocation using scheduling with machine learning protocols in advanced 5G networks
Enthalten in Optical and quantum electronics Bd. 56, 13.11.2024, Nr. 11, date:11.2024: 1-2
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26833 |
Retraction Note: Optimization analysis of sport pattern driven by machine learning and multi-agent
Enthalten in Neural computing & applications Bd. 35, 12.12.2022, Nr. 5, date:2.2023: 4185
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26834 |
Retraction Note: Optimizing radio access in 5G vehicle networks using novel machine learning-driven resource management
Enthalten in Optical and quantum electronics Bd. 56, 15.10.2024, Nr. 10, date:10.2024: 1-2
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26835 |
Retraction Note: Optoelectronic-aided machine learning-based stable routing protocol for MANET and beyond massive MIMO systems in 5G networks
Enthalten in Optical and quantum electronics Bd. 56, 7.11.2024, Nr. 11, date:11.2024: 1-2
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26836 |
Retraction Note: Optoelectronic sensor fault detection based predictive maintenance smart industry 4.0 using machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 9.9.2024, Nr. 9, date:9.2024: 1
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26837 |
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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26838 |
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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26839 |
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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26840 |
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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Administration
