Graph-based probabilistic forecasts of relevant aircraft pairs in UK airspace achieve higher correlation (ρ=0.68) with workload proxies than standard volume predictions (ρ=0.55).
Air traffic con- troller workload level prediction using conformalized dynamical graph learning
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NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.
citing papers explorer
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Graph-based Complexity Forecasts in UK En Route Airspace Using Relevant Aircraft Interactions
Graph-based probabilistic forecasts of relevant aircraft pairs in UK airspace achieve higher correlation (ρ=0.68) with workload proxies than standard volume predictions (ρ=0.55).
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AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes
NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.