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26561 |
Symptom-based scoring technique by machine learning to predict COVID-19: a validation study
Enthalten in BMC infectious diseases Bd. 23, 12.12.2023, Nr. 1, date:12.2023: 1-11
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26562 |
Symptom clusters among cancer survivors: what can machine learning techniques tell us?
Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12
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26563 |
Synergetic use of geospatial and machine learning techniques in modelling landslide susceptibility in parts of Shimla to Kinnaur National Highway, Himachal Pradesh
Enthalten in Modeling earth systems and environment Bd. 10, 18.4.2024, Nr. 3, date:6.2024: 4163-4183
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26564 |
Synergic quantum generative machine learning
Enthalten in Scientific reports Bd. 13, 9.8.2023, Nr. 1, date:12.2023: 1-14
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26565 |
Synergistic evolution of hydrological and movement characteristics of Majiagou landslide and identification of key triggering factors through interpretable machine learning
Enthalten in Bulletin of engineering geology and the environment Bd. 84, 28.1.2025, Nr. 2, date:2.2025: 1-19
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26566 |
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
Enthalten in Brain Informatics Bd. 11, 14.1.2024, Nr. 1, date:12.2024: 1-13
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26567 |
Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations
Enthalten in npj climate and atmospheric science Bd. 7, 6.1.2024, Nr. 1, date:12.2024: 1-12
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26568 |
Synergistic sunspot forecasting: a fusion of time series analysis and machine learning
Enthalten in Pramāna Bd. 99, 16.12.2024, Nr. 1, date:3.2025: 1-14
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26569 |
Synergistic valorization of wheat husk-derived HZSM-5 catalyst in pyrolysis of polystyrene and polypropylene: sustainable waste-to-energy conversion enhanced by machine learning models
Enthalten in Journal of material cycles and waste management Bd. 26, 13.8.2024, Nr. 6, date:11.2024: 3433-3445
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26570 |
Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area
Enthalten in Environmental earth sciences Bd. 83, 2.4.2024, Nr. 8, date:4.2024: 1-20
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