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26691 |
Topological data analysis and machine learning for COVID-19 detection in CT scan lung images
Enthalten in BMC biomedical engineering Bd. 7, 2.4.2025, Nr. 1, date:12.2025: 1-14
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26692 |
Topological feature engineering for machine learning based halide perovskite materials design
Enthalten in npj computational materials Bd. 8, 22.9.2022, Nr. 1, date:12.2022: 1-8
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26693 |
Topside ionospheric TEC modeling using multiple LEO satellites based on genetic algorithm-optimized machine learning models
Enthalten in GPS solutions Bd. 28, 1.11.2023, Nr. 1, date:1.2024: 1-12
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26694 |
Torque regression using machine learning techniques in automotive ECUs
Enthalten in Design automation for embedded systems Bd. 28, 25.11.2024, Nr. 3-4, date:12.2024: 219-243
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26695 |
TOURISM, NATURAL PROTECTED AREAS AND OPEN SOURCE GEOSPATIAL TECHNOLOGIES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W1-2022, 2022: 81-88. 8 S.
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26696 |
Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach
Enthalten in Scientific reports Bd. 12, 16.12.2022, Nr. 1, date:12.2022: 1-11
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26697 |
Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles
Enthalten in Acta Neuropathologica Communications Bd. 11, 18.12.2023, Nr. 1, date:12.2023: 1-20
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26698 |
Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction
Enthalten in Journal of Big Data Bd. 11, 12.8.2024, Nr. 1, date:12.2024: 1-23
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26699 |
Toward a Machine Learning and Software Defined Network Approaches to Manage Miners’ Reputation in Blockchain
Enthalten in Journal of network and systems management Bd. 28, 23.4.2020, Nr. 3, date:7.2020: 478-501
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26700 |
Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices
Enthalten in Materials Research Society: MRS communications Bd. 13, 5.10.2023, Nr. 5, date:10.2023: 795-811
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Administration
