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26421 |
Retraction Note: Machine learning in explaining nonprofit organizations’ participation: a driving factors analysis approach
Enthalten in Neural computing & applications Bd. 35, 12.12.2022, Nr. 5, date:2.2023: 4191
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26422 |
Retraction Note: Machine learning in optical networks enhancement based on channel allocation and spectrum analysis for 5G application
Enthalten in Optical and quantum electronics Bd. 56, 10.10.2024, Nr. 10, date:10.2024: 1
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26423 |
Retraction Note: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numerical algorithm
Enthalten in Scientific reports Bd. 15, 14.4.2025, Nr. 1, date:12.2025: 1
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26424 |
Retraction Note: Machine learning prediction of higher heating value of biomass
Enthalten in Biomass Conversion and Biorefinery Bd. 13, 21.9.2023, Nr. 16, date:11.2023: 15309
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26425 |
Retraction Note: Machine learning prediction of the Madden-Julian oscillation
Enthalten in npj climate and atmospheric science Bd. 8, 14.2.2025, Nr. 1, date:12.2025: 1
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26426 |
Retraction Note: Maritime tropical cyclone based on machine learning and marketing strategy in coastal areas
Enthalten in Arabian journal of geosciences Bd. 14, 6.12.2021, Nr. 24, date:12.2021: 1
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26427 |
Retraction Note: Mountain soil loss and human motion image detection based on cloud computing and machine learning
Enthalten in Arabian journal of geosciences Bd. 14, 11.11.2021, Nr. 22, date:11.2021: 1
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26428 |
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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26429 |
Retraction Note: Nanostructure analysis in polymeric materials with ion beam based Raman spectroscopy for retinoblastoma tumor imaging using ensemble machine learning technique
Enthalten in Optical and quantum electronics Bd. 56, 7.10.2024, Nr. 10, date:10.2024: 1-2
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26430 |
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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