Seokbin Yoon
PulseAugur coverage of Seokbin Yoon — every cluster mentioning Seokbin Yoon across labs, papers, and developer communities, ranked by signal.
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AI model predicts aircraft landing times with uncertainty quantification
Researchers have developed a new probabilistic framework for predicting aircraft landing times, accounting for multi-agent interactions and inherent uncertainties in air traffic. This model provides landing times as pro…
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New MAIFormer model enhances multi-aircraft flight trajectory prediction
Researchers have introduced MAIFormer, a novel neural network architecture designed to predict the flight trajectories of multiple aircraft. This model addresses the challenges of modeling individual aircraft behavior a…
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AI framework explains air traffic dynamics using Transformer model
Researchers have developed a novel machine learning framework to explain complex air traffic situations, aiming to improve situational awareness for air traffic controllers. The system utilizes a Transformer-based multi…