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Ergebnis der Suche nach: "Machine Learning"
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26571 - 26580 von 28935
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Artikel 26571 Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26572 Real-time arabic sign language recognition system using sensory glove and machine learning
Enthalten in Neural computing & applications Bd. 37, 28.1.2025, Nr. 9, date:3.2025: 6977-6993
Online Ressource
Artikel 26573 Real-time botnet detection on large network bandwidths using machine learning
Enthalten in Scientific reports Bd. 13, 15.3.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 26574 Real-time classification of ground conditions ahead of a TBM using supervised machine learning algorithms
Enthalten in Modeling earth systems and environment Bd. 10, 22.7.2024, Nr. 5, date:10.2024: 6173-6186
Online Ressource
Artikel 26575 Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
Enthalten in Water resources management Bd. 38, 17.2.2024, Nr. 7, date:5.2024: 2455-2470
Online Ressource
Artikel 26576 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 26577 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 26578 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 26579 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 26580 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


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