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16171 |
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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16172 |
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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16173 |
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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16174 |
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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16175 |
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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16176 |
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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16177 |
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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16178 |
Toward automated microstructure characterization of stainless steels through machine learning-based analysis of replication micrographs
Enthalten in Journal of materials science: materials in engineering Bd. 19, 26.6.2024, Nr. 1, date:12.2024: 1-15
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16179 |
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning
Enthalten in Journal of digital imaging Bd. 32, 19.6.2019, Nr. 4, date:8.2019: 554-564
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16180 |
Toward fully automated UED operation using two-stage machine learning model
Enthalten in Scientific reports Bd. 12, 10.3.2022, Nr. 1, date:12.2022: 1-12
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Administration
