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26421 |
Retraction Note: Detection of hate: speech tweets based convolutional neural network and machine learning algorithms
Enthalten in Scientific reports Bd. 14, 19.12.2024, Nr. 1, date:12.2024: 1
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26422 |
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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26423 |
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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26424 |
Retraction Note: E-healthcare application cyber security analysis using quantum machine learning in malicious user detection
Enthalten in Optical and quantum electronics Bd. 56, 13.11.2024, Nr. 11, date:11.2024: 1
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26425 |
Retraction Note: Early steroid detection in athlete players using quantum photonics and machine learning model based analysis
Enthalten in Optical and quantum electronics Bd. 56, 13.11.2024, Nr. 11, date:11.2024: 1
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26426 |
Retraction Note: Elastic optical network routing analysis using intelligent machine learning architecture with security analysis
Enthalten in Optical and quantum electronics Bd. 56, 13.11.2024, Nr. 11, date:11.2024: 1
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26427 |
Retraction Note: Emotion-based music recommendation and classification using machine learning with IoT Framework
Enthalten in Soft computing Bd. 27, 27.12.2022, Nr. 5, date:3.2023: 2755
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26428 |
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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26429 |
Retraction Note: Enhanced machine learning approach with orthogonal frequency division multiplexing to avoid congestion in wireless communication system
Enthalten in Optical and quantum electronics Bd. 56, 19.11.2024, Nr. 12, date:12.2024: 1-2
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26430 |
Retraction Note: Enhanced network lifespan in future wireless communication using machine learning based convolution neural networks
Enthalten in Optical and quantum electronics Bd. 56, 7.10.2024, Nr. 10, date:10.2024: 1
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Administration
