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Found 7 papers, 1 papers with code
Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System
This study addresses the need to examine potential biases of transformer-based models in the context of automated English speech assessment.
Excess Delay from GDP: Measurement and Causal Analysis
Ground Delay Programs (GDPs) have been widely used to resolve excessive demand-capacity imbalances at arrival airports by shifting foreseen airborne delay to pre-departure ground delay.
Real-Time Go-Around Prediction: A case study of JFK airport
In this paper, we employ the long-short-term memory model (LSTM) to predict the real-time go-around probability as an arrival flight is approaching JFK airport and within 10 nm of the landing runway threshold.
A Simulation-Optimization Framework for Developing Wind-Resilient AAM Networks
Environmental factors pose a significant challenge to the operational efficiency and safety of advanced air mobility (AAM) networks.
ReelFramer: Human-AI Co-Creation for News-to-Video Translation
To translate news into social media reels, we support journalists in reframing the narrative.
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction
The autoregressive structure mimicked the causal relationship between condition, action and crash outcome and the probability density functions are used to calculate the conditional action probability, crash probability and conditional crash probability.
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
Reliable 4D aircraft trajectory prediction, whether in a real-time setting or for analysis of counterfactuals, is important to the efficiency of the aviation system.
