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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications
Framework for Offline Data-Driven Aircraft Fault Diagnosis