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26151 |
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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26152 |
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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26153 |
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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26154 |
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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26155 |
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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26156 |
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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26157 |
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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26158 |
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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26159 |
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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26160 |
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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Administration
