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11281 |
RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. IV-4/W8, 2019: 27-34
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11282 |
Raman hyperspectroscopy of saliva and machine learning for Sjögren’s disease diagnostics
Enthalten in Scientific reports Bd. 14, 15.5.2024, Nr. 1, date:12.2024: 1-8
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11283 |
Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms
Enthalten in International journal of computational intelligence systems Bd. 17, 4.11.2024, Nr. 1, date:12.2024: 1-17
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11284 |
Rapid and non-destructive identification of Anopheles gambiae and Anopheles arabiensis mosquito species using Raman spectroscopy via machine learning classification models
Enthalten in Malaria journal Bd. 22, 8.11.2023, Nr. 1, date:12.2023: 1-11
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11285 |
Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning
Enthalten in Malaria journal Bd. 23, 26.3.2024, Nr. 1, date:12.2024: 1-11
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11286 |
Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques
Enthalten in BMC bioinformatics Bd. 20, 24.12.2019, Nr. 19, date:12.2019: 1-17
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11287 |
Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models
Enthalten in BMC microbiology Bd. 25, 24.1.2025, Nr. 1, date:12.2025: 1-8
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11288 |
Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning
Enthalten in Scientific reports Bd. 15, 7.1.2025, Nr. 1, date:12.2025: 1-12
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11289 |
Rapid development of accurate artificial intelligence scoring for colitis disease activity using applied data science techniques
Enthalten in Endoscopy International Open Bd. 10, 2022, Nr. 04: E539-E543
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11290 |
Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning
Enthalten in Nature Communications Bd. 14, 18.9.2023, Nr. 1, date:12.2023: 1-11
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Administration
