LSTM Models for Flood Prediction
Researchers optimize LSTM models for street-scale flood prediction in Norfolk, Virginia, exploring data grouping and model scalability.
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Data Science
Predicting Flood Arrival Times Post-Dike Breach
Researchers have developed a fast conceptual model to predict flood arrival times after dike breaches, enhancing disaster management.
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Wildfire Management in Portugal
This study examines wildfire ignitions in mainland Portugal, focusing on municipal-scale analysis and spatial modeling to enhance fire management.
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insight to Animal Behavior with Markov Models
This research presents a hidden Markov model framework that identifies animal activity modes and movement phases, offering a nuanced approach to ecological inference and wildlife conservation.
insight to Animal Behavior with Markov Models Read More »
Wildlife Habitat Understanding with LiDAR
This study utilizes LiDAR technology to improve understanding of habitat selection in large mammals, complementing traditional ecoforest maps.
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Shipborne Gravity Data
Researchers improved marine geoid models by refining shipborne gravity data around Egypt, enhancing precision in shallow water and coastal regions.
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AI or human?
This study examines how user awareness of interacting with AI versus humans affects emotional and psychological dynamics with virtual avatars.
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.
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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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