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35361 |
Tissue-based Alzheimer gene expression markers–comparison of multiple machine learning approaches and investigation of redundancy in small biomarker sets
Enthalten in BMC bioinformatics Bd. 13, 15.10.2012, Nr. 1, date:12.2012: 1-17
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35362 |
Title: how accurately can machine learning technology for quantitative imaging analysis represent actual coronary artery data?
Enthalten in The international journal of cardiovascular imaging Bd. 38, 21.6.2022, Nr. 7, date:7.2022: 1441-1442
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35363 |
To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel Recommendations
Enthalten in SN Computer Science Bd. 5, 27.3.2024, Nr. 4, date:4.2024: 1-14
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35364 |
To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning
Enthalten in Biomed Central (London): BMC Research Notes Bd. 16, 24.8.2023, Nr. 1, date:12.2023: 1-4
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35365 |
To supervise or to self-supervise: a machine learning based comparison on credit supervision
Enthalten in Financial innovation Bd. 7, 13.4.2021, Nr. 1, date:12.2021: 1-21
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35366 |
Toeplitz matrices based key exchange protocol for the internet of things
Enthalten in International journal of information technology Bd. 16, 24.11.2023, Nr. 1, date:1.2024: 293-300
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35367 |
Tomato ripeness and shelf-life prediction system using machine learning
Enthalten in Journal of food measurement and characterization Bd. 18, 7.2.2024, Nr. 4, date:4.2024: 2715-2730
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35368 |
Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques
Enthalten in Scientific reports Bd. 14, 24.6.2024, Nr. 1, date:12.2024: 1-17
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35369 |
Tool condition monitoring of diamond-coated burrs with acoustic emission utilising machine learning methods
Enthalten in The international journal of advanced manufacturing technology Bd. 130, 7.12.2023, Nr. 3-4, date:1.2024: 1107-1124
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35370 |
Tool wear estimation in turning of Inconel 718 based on wavelet sensor signal analysis and machine learning paradigms
Enthalten in Production engineering Bd. 14, 19.10.2020, Nr. 5-6, date:12.2020: 693-705
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