Microplastic Bioaccumulation in Fish
This study investigates how hydrodynamic conditions influence microplastic bioaccumulation in fish, highlighting the role of water flow in increasing toxicity.
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Machine Learning
Urban Flood Forecasting
A new machine learning framework enhances urban flood forecasting by combining high-fidelity models with sparse sensor data.
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AI for Wildlife Poaching Detection
Researchers have developed a machine learning framework to combat poaching by analyzing forest videos. This approach utilizes advanced neural networks to detect wildlife and assess threats, aiming to enhance conservation efforts.
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aircraft fuel consumption during taxiing
Amid rising aviation emissions, researchers have crafted machine learning models that refine fuel consumption predictions during aircraft taxiing.
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Ocean Dynamics with Ultra-Thin Drifters
Researchers have deployed innovative ultra-thin surface drifters to explore the complex near-surface ocean dynamics of the southern North Sea.
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Crop Predictions with Drought Data
Researchers from Delft University have developed a machine learning framework using drought spatial extent to enhance crop yield predictions.
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3D-Printed Piezoelectric Metamaterials
Researchers have developed a framework for designing and 3D-printing piezoelectric truss metamaterials with customizable anisotropic responses.
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Soil Salinity Estimation with UAV data
Researchers have introduced a novel ensemble learning framework utilizing UAV imagery and soil auxiliary data to enhance soil salinity estimation.
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Tropical Tree Detection Dataset
SELVABOX, the largest open-access dataset for tropical tree crown detection, spans three countries and includes over 83,000 manually labeled crowns.
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Modeling Forest Fire Susceptibility
Researchers utilize machine learning to model forest fire susceptibility in Brandenburg, Germany, analyzing current and future scenarios.
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