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10521 |
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model
Enthalten in npj climate and atmospheric science Bd. 7, 13.3.2024, Nr. 1, date:12.2024: 1-12
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10522 |
MAPPING VEGETATION AND MEASURING THE PERFORMANCE OF MACHINE LEARNING ALGORITHM IN LULC CLASSIFICATION IN THE LARGE AREA USING SENTINEL-2 AND LANDSAT-8 DATASETS OF DEHRADUN AS A TEST CASE
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 529-535. 7 S.
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10523 |
Mapping Vegetation Dynamics in Wyoming: A Multi-Temporal Analysis using Landsat NDVI and Clustering
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-5-2024, 2025: 87-94. 8 S.
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10524 |
Mapping wind erosion hazard with regression-based machine learning algorithms
Enthalten in Scientific reports Bd. 10, 24.11.2020, Nr. 1, date:12.2020: 1-16
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10525 |
MAPS: pathologist-level cell type annotation from tissue images through machine learning
Enthalten in Nature Communications Bd. 15, 2.1.2024, Nr. 1, date:12.2024: 1-11
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10526 |
Marigold: a machine learning-based web app for zebrafish pose tracking
Enthalten in BMC bioinformatics Bd. 26, 28.1.2025, Nr. 1, date:12.2025: 1-30
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10527 |
Market prediction using machine learning based on social media specific features
Enthalten in Artificial life and robotics Bd. 28, 22.2.2023, Nr. 2, date:5.2023: 410-417
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10528 |
MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets
Enthalten in ISME communications Bd. 3, 24.8.2023, Nr. 1, date:12.2023: 1-10
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10529 |
Maschinelles Lernen in der Siedlungswasserwirtschaft
Enthalten in Österreichische Wasser- und Abfallwirtschaft Bd. 71, 21.5.2019, Nr. 7-8, date:8.2019: 359-368
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10530 |
Maschinelles Lernen in der Radiologie
Enthalten in Der Radiologe Bd. 60, 8.1.2020, Nr. 1, date:1.2020: 6-14
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