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26031 |
Relaxometric learning: a pattern recognition method for T 2 relaxation curves based on machine learning supported by an analytical framework
Enthalten in BMC chemistry Bd. 15, 20.2.2021, Nr. 1, date:12.2021: 1-8
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26032 |
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
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26033 |
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
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26034 |
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
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26035 |
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
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26036 |
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
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26037 |
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
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26038 |
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
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26039 |
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
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26040 |
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
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