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26411 |
Retraction Note: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
Enthalten in Journal of petroleum exploration and production technology Bd. 13, 19.6.2023, Nr. 10, date:10.2023: 2155
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26412 |
Retraction Note: Data processing model and performance analysis of cognitive computing based on machine learning in Internet environment
Enthalten in Soft computing Bd. 27, 30.11.2022, Nr. 1, date:1.2023: 619
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26413 |
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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26414 |
Retraction Note: Design and application of optical communication technology based on machine learning algorithms in physical education teaching information management system
Enthalten in Optical and quantum electronics Bd. 56, 14.10.2024, Nr. 10, date:10.2024: 1
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26415 |
Retraction Note: Design of traffic object recognition system based on machine learning
Enthalten in Neural computing & applications Bd. 35, 14.12.2022, Nr. 4, date:2.2023: 3583
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26416 |
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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26417 |
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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26418 |
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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26419 |
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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26420 |
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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Administration
