AI or human?
This study examines how user awareness of interacting with AI versus humans affects emotional and psychological dynamics with virtual avatars.
This study examines how user awareness of interacting with AI versus humans affects emotional and psychological dynamics with virtual avatars.
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 »