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1301 |
Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques
Enthalten in Neural computing & applications Bd. 36, 22.4.2024, Nr. 16, date:6.2024: 9607-9608
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1302 |
Retraction Note: Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques
Enthalten in Soft computing Bd. 28, 28.10.2024, Nr. 2, date:12.2024: 945
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1303 |
Retraction Note: Distributed computing model for channel bandwidth allocation and optimization using machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 9.10.2024, Nr. 10, date:10.2024: 1
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1304 |
Retraction Note: Enhanced image diagnosing approach in medicine using quantum adaptive machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 5.11.2024, Nr. 11, date:11.2024: 1
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1305 |
Retraction Note: Influence of grey wolf optimization feature selection on gradient boosting machine learning techniques for accurate detection of liver tumor
Enthalten in Discover applied sciences Bd. 7, 16.12.2024, Nr. 1, date:1.2025: 1
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1306 |
Retraction Note: Machine learning based 64-QAM classification techniques for enhanced optical communication
Enthalten in Optical and quantum electronics Bd. 56, 9.10.2024, Nr. 10, date:10.2024: 1-2
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1307 |
Retraction Note: Music photonic signal analysis based health monitoring system using classification by quantum machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 20.11.2024, Nr. 12, date:12.2024: 1
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1308 |
Retraction Note: Network traffic reduction with spatially flexible optical networks using machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 15.10.2024, Nr. 10, date:10.2024: 1
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1309 |
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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1310 |
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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Administration
