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Ergebnis der Suche nach: "Machine Learning"
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26581 - 26590 von 28941
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Artikel 26581 Real-Time Flood Disaster Prediction System by Applying Machine Learning Technique
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 24, 29.7.2020, Nr. 9, date:9.2020: 2835-2848
Online Ressource
Artikel 26582 Real-Time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics
Enthalten in Computing and software for big science Bd. 8, 21.3.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 26583 Real-time inference for binary neutron star mergers using machine learning
Enthalten in Nature Bd. 639, 5.3.2025, Nr. 8053, date:3.2025: 49-53
Online Ressource
Artikel 26584 Real-time leakage predictions of pneumatic controlled actuator during cycle test using machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 134, 13.9.2024, Nr. 9-10, date:10.2024: 4577-4592
Online Ressource
Artikel 26585 Real-time lithology identification while drilling based on drilling parameters analysis with machine learning
Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 11, 18.4.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 26586 Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
Enthalten in npj digital medicine Bd. 6, 23.11.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 26587 Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation
Enthalten in Critical care Bd. 28, 14.3.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26588 Real-time monitoring of GPS flex power based on machine learning
Enthalten in GPS solutions Bd. 26, 23.4.2022, Nr. 3, date:7.2022: 1-10
Online Ressource
Artikel 26589 Real-time open-file backup system with machine-learning detection model for ransomware
Enthalten in International journal of information security Bd. 24, 4.1.2025, Nr. 1, date:2.2025: 1-21
Online Ressource
Artikel 26590 Real-time pre-eclampsia prediction model based on IoT and machine learning
Enthalten in Discover Internet of things Bd. 4, 23.8.2024, Nr. 1, date:12.2024: 1-25
Online Ressource


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