Urban Flood Forecasting
A new machine learning framework enhances urban flood forecasting by combining high-fidelity models with sparse sensor data.
Urban Flood Forecasting Read More »
A new machine learning framework enhances urban flood forecasting by combining high-fidelity models with sparse sensor data.
Urban Flood Forecasting Read More »
Driving automation taxonomies are under scrutiny for lacking clarity and adaptability to new technologies.
Clarity in SAE J3016 Automation Taxonomy Read More »
Amid rising aviation emissions, researchers have crafted machine learning models that refine fuel consumption predictions during aircraft taxiing.
aircraft fuel consumption during taxiing Read More »
Researchers from Delft University have developed a machine learning framework using drought spatial extent to enhance crop yield predictions.
Crop Predictions with Drought Data Read More »
Researchers have developed an AI-driven Hydrogen Decision Support Model (H2-DSM) to optimize Run-of-River hydropower plants, enhancing economic and environmental sustainability.
AI-Driven Hydropower for Sustainability Read More »
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 »
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 »
This study examines how user awareness of interacting with AI versus humans affects emotional and psychological dynamics with virtual avatars.
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.
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 »