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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

33481 - 33490 von 33496
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Artikel 33481 XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban
Enthalten in BMC geriatrics Bd. 23, 10.7.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 33482 XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning
Enthalten in Discover oncology Bd. 16, 19.5.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 33483 XGBoosting Cricket: Enhancing Predictive Modeling for Twenty20 Match Results Using Machine Learning and Statistical Techniques
Enthalten in SN Computer Science Bd. 5, 9.11.2024, Nr. 8, date:12.2024: 1-7
Online Ressource
Artikel 33484 XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environment
Enthalten in International journal of information security Bd. 24, 14.5.2025, Nr. 3, date:6.2025: 1-22
Online Ressource
Artikel 33485 Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning
Enthalten in Behavioral ecology and sociobiology Bd. 77, 31.3.2023, Nr. 4, date:4.2023: 1-12
Online Ressource
Artikel 33486 Year-round daily wildfire prediction and key factor analysis using machine learning: a case study of Gangwon State, South Korea
Enthalten in Scientific reports Bd. 15, 15.8.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 33487 YI 2.1 Pulse Wave Velocity Estimation from the Radial Pulse Waveform using Gaussian Process Regression: A Machine Learning Based Study
Enthalten in Artery research Bd. 26, 31.12.2020, Nr. 1, date:12.2020: S12
Online Ressource
Artikel 33488 Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Enthalten in Plant methods Bd. 16, 1.6.2020, Nr. 1, date:12.2020: 1-16
Online Ressource
Artikel 33489 Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms
Enthalten in Discover food Bd. 5, 20.3.2025, Nr. 1, date:12.2025: 1-23
Online Ressource
Artikel 33490 You are smarter than you think: (super) machine learning in context
Enthalten in European journal of epidemiology Bd. 33, 9.5.2018, Nr. 5, date:5.2018: 437-440
Online Ressource


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