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27381 |
Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning
Enthalten in BMC public health Bd. 25, 1.3.2025, Nr. 1, date:12.2025: 1-15
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27382 |
Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
Enthalten in Environmental earth sciences Bd. 84, 18.2.2025, Nr. 5, date:3.2025: 1-23
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27383 |
Spatial Analysis of Land Use Land Cover Dynamics in the Madurai District Using Sentinel-2 Data and Supervised Learning Algorithms
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4-2024, 2024: 367-372. 6 S.
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27384 |
SPATIAL ANALYSIS OF VEGETATION DENSITY CLASSIFICATION IN DETERMINING ENVIRONMENTAL IMPACTS USING UAV IMAGERY
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. V-3-2022, 2022: 417-422. 6 S.
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27385 |
Spatial and Seasonal Change Detection in Vegetation Cover Using Time-Series Landsat Satellite Images and Machine Learning Methods
Enthalten in SN Computer Science Bd. 4, 7.3.2023, Nr. 3, date:5.2023: 1-18
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27386 |
Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 197, 9.4.2025, Nr. 5, date:5.2025: 1-15
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27387 |
Spatial and temporal trend analysis of rainfall in Nagaland (India) using machine learning techniques
Enthalten in Journal of earth system science Bd. 133, 28.5.2024, Nr. 2, date:6.2024: 1-15
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27388 |
Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 192, 3.11.2020, Nr. 12, date:12.2020: 1-18
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27389 |
Spatial Clustering of Primary Geochemical Halos Using Unsupervised Machine Learning in Sari Gunay Gold Deposit, Iran
Enthalten in Mining, metallurgy & exploration Bd. 41, 16.9.2024, Nr. 5, date:10.2024: 2741-2760
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27390 |
Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016
Enthalten in BMC infectious diseases Bd. 23, 23.1.2023, Nr. 1, date:12.2023: 1-16
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