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Application of Machine Learning to the Analysis and Assessment of Airport Operations
A Categorical Model for Airport Capacity Estimation Using Hierarchical Clustering
Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
Quantification of Error for Rapid Fleet-Level Noise Computation Model Assumptions
Probabilistic REpresentatives Mining (PREM): A Clustering Method for Distributional Data Reduction
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Development and Analysis of Improved Departure Modeling for Aviation Environmental Impact Assessment