Crop Predictions with Drought Data
Researchers from Delft University have developed a machine learning framework using drought spatial extent to enhance crop yield predictions.
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Orbital Congestion in Satellite Broadband
As satellite broadband expands, orbital congestion presents critical challenges. This study examines the dynamics between oligopolistic competition, innovation, and regulatory measures, providing insights into the future of satellite communication.
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AI-Driven Hydropower for Sustainability
Researchers have developed an AI-driven Hydrogen Decision Support Model (H2-DSM) to optimize Run-of-River hydropower plants, enhancing economic and environmental sustainability.
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Tree Inventories with Mobile Lidar
Researchers have integrated mobile lidar technology and open-source tools to automate urban tree inventories. This approach enhances efficiency and affordability in mapping and measuring urban trees, which is crucial for environmental planning and ecosystem service assessment, offering significant benefits for city planning and management.
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Adaptive Hydropower Governance
This study explores the complex dynamics of hydropower operations in Brazil’s Paranapanema River Basin, examining how electricity demand and centralized management affect river flows.
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Satellite Megaconstellations
As satellite megaconstellations proliferate, understanding the risks of their reentry becomes crucial.
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Hydropower optimisation with Price Forecasts
In electricity markets, the interplay between hydrologic forecasts and hydropower scheduling is vital.
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high risk AI compliance challenge
As artificial intelligence advances, the European Union’s AI Act sets rigorous compliance standards for high-risk AI systems.
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Maritime Safety through Clustering
This study presents a novel clustering framework for maritime traffic pattern recognition, addressing inefficiencies and interpretability issues in current methods.
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Hydrogen Transition in Finnish Maritime
Finnish maritime logistics face a systemic catch-22 in transitioning to hydrogen-derived fuels, highlighting a nuanced spectrum of techno-optimism and pessimism.
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