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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models
Published 2025-03-01“…We developed three scenarios to select key features, aiming to optimize the retrieval of Chl-a for a lake in North Carolina, USA. Utilizing five machine learning models, namely linear regression (LR), least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGBoost), random forest (RF), and support vector regression (SVR), we constructed inversion models. …”
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The Simultaneous Effects of Spatial and Social Networks on Cholera Transmission
Published 2011-01-01Get full text
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors
Published 2024-10-01Get full text
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585
Comparison of transcriptomic profiles between intracellular and extracellular Bartonella henselae
Published 2025-01-01Get full text
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586
Causality Extraction from Medical Text Using Large Language Models (LLMs)
Published 2024-12-01Get full text
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Modeling and optimal regulation of erythropoiesis subject to benzene intoxication
Published 2004-02-01Get full text
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Short Stature Homeobox-Containing Haploinsufficiency in Seven Siblings with Short Stature
Published 2017-01-01Get full text
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Sliding Mode Control for Robust Path Tracking of Automated Vehicles in Rural Environments
Published 2024-01-01Get full text
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590
Effects of Soil Quality Enhancement on Pollinator-Plant Interactions
Published 2012-01-01Get full text
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591
In vivo trafficking of cancer-derived exosomes and their role in metastasis
Published 2025-06-01Get full text
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592
Investigating Preservice Science Teacher Ethical Sensitivity through Computer Game and Video
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Esquirlas culturales de los estallidos sociales en América Latina (2018-2020)
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Editorial: Structure-function relationship of enzymes through a chemical lens
Published 2025-02-01Get full text
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