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27501 |
Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors
Enthalten in Earth science informatics Bd. 18, 8.1.2025, Nr. 1, date:1.2025: 1-23
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27502 |
Spatiotemporal forecasting for dengue, chikungunya fever and Zika using machine learning and artificial expert committees based on meta-heuristics
Enthalten in Research on biomedical engineering Bd. 38, 17.2.2022, Nr. 2, date:6.2022: 499-537
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27503 |
Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 371-375. 5 S.
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27504 |
Spatiotemporal modelling of rainfall-induced landslides using machine learning
Enthalten in Landslides Bd. 18, 15.4.2021, Nr. 7, date:7.2021: 2499-2514
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27505 |
Spatiotemporal trends and meteorological influence on hand, foot, and mouth disease in Ho Chi Minh City: insights from 2015–2022 using machine learning and trend analysis
Enthalten in Discover public health Bd. 22, 11.6.2025, Nr. 1, date:12.2025: 1-14
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27506 |
Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data
Enthalten in Environmental management Bd. 75, 7.1.2025, Nr. 3, date:3.2025: 694-709
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27507 |
Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images
Enthalten in Scientific reports Bd. 15, 21.1.2025, Nr. 1, date:12.2025: 1-15
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27508 |
Spatiotemporal variations, sources, pollution status and health risk assessment of dissolved trace elements in a major Arabian Sea draining river: insights from multivariate statistical and machine learning approaches
Enthalten in Environmental geochemistry and health Bd. 46, 14.3.2024, Nr. 4, date:4.2024: 1-26
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27509 |
Spatiotemporal-view member preference contrastive representation learning for group recommendation
Enthalten in Machine learning Bd. 114, 11.2.2025, Nr. 3, date:3.2025: 1-20
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27510 |
Spawning Gradient Descent (SpGD): A Novel Optimization Framework for Machine Learning and Deep Learning
Enthalten in SN Computer Science Bd. 6, 18.2.2025, Nr. 3, date:3.2025: 1-28
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