data for Seafarer Safety
This study uses a data-driven Bayesian network to analyze maritime occupational accidents, identifying key risk factors and offering insights for improving seafarer safety.
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Computer Science
Arctic Shipping Risk Management
As Arctic maritime activity rises, effective risk management becomes crucial. This study presents a data-driven framework to analyze trends and factors influencing maritime accidents, focusing on their severity and pollution.
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Sustainability and the EU AI Act
This research examines the European Union AI Act, revealing its environmental shortcomings and proposing pathways for integrating sustainability into AI regulation.
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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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RT-PPP Accuracy with GNSS Clocks
This study explores enhancing real-time precise point positioning (RT-PPP) using predicted orbits and clocks from multiple Global Navigation Satellite Systems (GNSS).
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Lidar object detection for Safer Maritime Navigation
Researchers have developed a LiDAR intensity-enhanced 3D object detection method, improving accuracy in complex marine environments.
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Urban Land Use Models with Sequential Classifiers
Explore how sequential classifiers enhance urban land use change modeling, achieving high accuracy and thematic depth.
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Precise Point Positioning with Triple-Frequency GNSS
Researchers explore triple-frequency signals from GPS, Galileo, and BeiDou to enhance precise point positioning (PPP).
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Enhancing Weather Forecasts with GNSS Tropospheric Gradients
Exploring the integration of GNSS-derived tropospheric gradients with zenith total delays in weather forecasting models, this study examines both sparse and dense station networks.
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