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26721 |
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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26722 |
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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26723 |
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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26724 |
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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26725 |
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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26726 |
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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26727 |
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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26728 |
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
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26729 |
Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey
Enthalten in Society Bd. 60, 25.8.2023, Nr. 5, date:10.2023: 733-749
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26730 |
Remaining useful lifetime estimation for metal-bonded grinding tools using hybrid machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 123, 10.11.2022, Nr. 9-10, date:12.2022: 3243-3260
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