high risk AI compliance challenge
As artificial intelligence advances, the European Union’s AI Act sets rigorous compliance standards for high-risk AI systems.
high risk AI compliance challenge Read More »
Computer Science
Maritime Safety through Clustering
This study presents a novel clustering framework for maritime traffic pattern recognition, addressing inefficiencies and interpretability issues in current methods.
Maritime Safety through Clustering Read More »
AI or human?
This study examines how user awareness of interacting with AI versus humans affects emotional and psychological dynamics with virtual avatars.
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 »
AI Diplomacy
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.
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.
data for Seafarer Safety Read More »
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.
Arctic Shipping Risk Management Read More »
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.
Sustainability and the EU AI Act Read More »
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.
Soil Salinity Estimation with UAV data Read More »
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.
Tropical Tree Detection Dataset Read More »