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16181 |
Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction
Enthalten in Nature Communications Bd. 13, 9.9.2022, Nr. 1, date:12.2022: 1-15
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16182 |
Topological analysis of data
Enthalten in EPJ Data Science Bd. 6, 6.6.2017, Nr. 1, date:12.2017: 1-6
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16183 |
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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16184 |
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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16185 |
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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16186 |
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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16187 |
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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16188 |
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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16189 |
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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16190 |
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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Administration
