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16081 |
SVR and ARIMA models as machine learning solutions for solving the latency problem in real-time clock corrections
Enthalten in GPS solutions Bd. 26, 8.6.2022, Nr. 3, date:7.2022: 1-14
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16082 |
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Enthalten in Scientific reports Bd. 10, 11.12.2020, Nr. 1, date:12.2020: 1-11
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16083 |
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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16084 |
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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16085 |
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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16086 |
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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16087 |
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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16088 |
Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends
Enthalten in Artificial intelligence review Bd. 58, 4.6.2025, Nr. 9, date:9.2025: 1-64
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16089 |
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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16090 |
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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