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Ergebnis der Suche nach: "Machine Learning"
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26631 - 26640 von 28887
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Artikel 26631 Relay selection scheme based on machine learning for enhancing the physical layer secrecy in cognitive radio networks
Enthalten in Telecommunication systems Bd. 78, 29.6.2021, Nr. 2, date:10.2021: 267-272
Online Ressource
Artikel 26632 Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study
Enthalten in EJNMMI Research Bd. 13, 13.2.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 26633 RelHunter: a machine learning method for relation extraction from text
Enthalten in Sociedade Brasileira de Computação: Journal of the Brazilian Computer Society Bd. 16, 8.8.2010, Nr. 3, date:9.2010: 191-199
Online Ressource
Artikel 26634 Reliability analysis in multiple breakdown with controllable phase repair machining system
Enthalten in International journal of information technology Bd. 16, 8.6.2024, Nr. 6, date:8.2024: 3623-3632
Online Ressource
Artikel 26635 Reliability of Machine Learning in functional assessment in cardiac magnetic resonance imaging
Enthalten in Journal of medical imaging and interventional radiology Bd. 11, 26.8.2024, Nr. 1, date:12.2024: 1-6
Online Ressource
Artikel 26636 Reliability of non-contact tongue diagnosis for Sjögren's syndrome using machine learning method
Enthalten in Scientific reports Bd. 13, 24.1.2023, Nr. 1, date:12.2023: 1-8
Online Ressource
Artikel 26637 Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 26638 Reliability Testing of Machine Learning Model Prediction Capability towards Unidentifiable Microplastic Spectral Data: Triple Battery and Colorant Investigation
Enthalten in Microplastics and nanoplastics Bd. 5, 2.1.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 26639 Reliable calculations of nuclear binding energies by the Gaussian process of machine learning
Enthalten in Nuclear science and techniques Bd. 35, 18.6.2024, Nr. 6, date:6.2024: 1-15
Online Ressource
Artikel 26640 Reliable prediction of thermophysical properties of nanofluids for enhanced heat transfer in process industry: a perspective on bridging the gap between experiments, CFD and machine learning
Enthalten in Journal of thermal analysis and calorimetry Bd. 148, 7.4.2023, Nr. 12, date:6.2023: 5859-5881
Online Ressource


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