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35171 |
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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35172 |
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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35173 |
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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35174 |
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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35175 |
Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma Enthalten in Discover oncology Bd. 16, 4.5.2025, Nr. 1, date:12.2025: 1-21
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35176 |
Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning Enthalten in Scientific reports Bd. 15, 30.4.2025, Nr. 1, date:12.2025: 1-11
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35177 |
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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35178 |
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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35179 |
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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35180 |
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms Enthalten in Evolutionary intelligence Bd. 18, 21.2.2025, Nr. 2, date:4.2025: 1-24
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