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Ergebnis der Suche nach:
"Machine Learning"
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27081 - 27090 von 32606
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27081
Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring
Enthalten in Journal of petroleum exploration and production technology Bd. 14, 14.8.2024, Nr. 10, date:10.2024: 2577-2616
27082
Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations
Enthalten in Nature Communications Bd. 14, 2.10.2023, Nr. 1, date:12.2023: 1-9
27083
Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences
Enthalten in Fire technology Bd. 57, 2.1.2021, Nr. 6, date:11.2021: 2741-2784
27084
Med-tech device security through advanced server cryptography
Enthalten in International journal of information technology Bd. 17, 20.12.2024, Nr. 2, date:3.2025: 1015-1022
27085
Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques
Enthalten in Journal of medical systems Bd. 43, 9.7.2019, Nr. 8, date:8.2019: 1-24
27086
Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer
Enthalten in BMC medical imaging Bd. 24, 24.1.2024, Nr. 1, date:12.2024: 1-11
27087
Medical imaging technique using curvelet transform and machine learning for the automated diagnosis of breast cancer from thermal image
Enthalten in Pattern analysis and applications Bd. 24, 11.2.2021, Nr. 3, date:8.2021: 981-991
27088
Medical-informed machine learning: integrating prior knowledge into medical decision systems
Enthalten in BMC medical informatics and decision making Bd. 24, 28.6.2024, Nr. 4, date:12.2024: 1-18
27089
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach
Enthalten in BMC medical informatics and decision making Bd. 17, 1.12.2017, Nr. 1, date:12.2017: 1-13
27090
Medium-Term Prediction of Relativistic Electron Fluxes in a Geostationary Orbit Using Machine Learning Methods Based on Observations of Solar Coronal Holes
Enthalten in Geomagnetism and aeronomy Bd. 60, 22.6.2020, Nr. 3, date:5.2020: 279-288
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