Geographies of cycling
This research delves into the nuanced behaviors of city-bike users in Trondheim, Norway, revealing how infrastructure and environmental factors influence cycling patterns.
Geographies of cycling Read More »
This research delves into the nuanced behaviors of city-bike users in Trondheim, Norway, revealing how infrastructure and environmental factors influence cycling patterns.
Geographies of cycling Read More »
In a world increasingly shaped by Artificial Intelligence, this research delves into the strategic and legal dimensions of AI diplomacy, exploring how nations navigate the AI race.
Researchers have developed a framework for designing and 3D-printing piezoelectric truss metamaterials with customizable anisotropic responses.
3D-Printed Piezoelectric Metamaterials Read More »
This study uses a data-driven Bayesian network to analyze maritime occupational accidents, identifying key risk factors and offering insights for improving seafarer safety.
data for Seafarer Safety Read More »
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.
Arctic Shipping Risk Management Read More »
This research explores the pivotal role of infrastructural visibility in advancing social innovation within Germany’s energy transition.
Infrastructural Visibility’s Impact on Germany’s Energy Transition Read More »
Researchers have introduced a novel ensemble learning framework utilizing UAV imagery and soil auxiliary data to enhance soil salinity estimation.
Soil Salinity Estimation with UAV data Read More »
Researchers have developed a high-resolution spatio-temporal population model for German cities, offering new insights into urban population dynamics.
Dynamic Population Modeling Read More »
SELVABOX, the largest open-access dataset for tropical tree crown detection, spans three countries and includes over 83,000 manually labeled crowns.
Tropical Tree Detection Dataset Read More »
A new digital twin framework is poised to transform the monitoring and maintenance of aging bridge infrastructure.
Digital Twin for structural health monitoring Read More »