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 Science
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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Light data for hurricane recovery analysis
Researchers reveal the persistent impacts of hurricanes on economic recovery in the southern US using nighttime light data.
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Nano-Drone Communication with Firefly-Inspired VLC
Inspired by fireflies, researchers have developed a visible light communication system for nano-drones, enabling efficient, low-power communication.
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Enhancing Circular Construction with Additive Manufacturing
Additive manufacturing (AM) offers promising potential to enhance circular construction by enabling innovative design strategies.
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Unprecedented September 2023 Temperature Anomaly Challenges Climate Models
In a recent study, researchers found that the September 2023 temperature jump was nearly impossible under standard anthropogenic forcing, revealing a complex interplay of feedbacks and forcings often underrepresented in models.
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Aerosol Mapping in Europe
This study integrates chemical transport models with machine learning to create high-resolution maps of organic aerosol concentrations across Europe.
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Tradable Mobility Credits for Travel in Europe
A study estimates the effects of Tradable Mobility Credits on Europe’s long-distance leisure travel, where emissions are capped by design and prices emerge from market equilibrium, resulting in a 20% demand reduction, air share dropping from 50% to 42%, and rail increasing from 23% to 32% under a 30% emission target. Emissions Challenge in Long-Distance
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Assessing Crop Flood Damage Using Sentinel-2
Data-Driven Approach to Quantify Agricultural Losses from Flooding Discover a method that combines Sentinel-2 satellite data, topographic information, and field surveys in a random forest model to classify flood damage in 412 agricultural fields, providing quantitative yield loss estimates for the 2023 Emilia-Romagna event and supporting effective compensation strategies in vulnerable areas. Flood Impacts on
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Versioning for Multi-LoD 3D City Model Management
Researchers propose a framework for managing multiple Levels of Detail in 3D city models using CityJSON versioning, with each LoD in a separate branch for independent updates to geometries and semantics, tested on Dutch building data to assess feasibility and maintenance implications. Challenges in Managing Multi-LoD 3D City Models 3D city models are essential in
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