Presentation
Session 3 A – Advancing Aviation: Artificial Intelligence & Machine Learning
National Training Aircraft Symposium (NTAS)
Location
165 E
Start Date
10-25-2022 1:15 PM
End Date
10-25-2022 3:15 PM
Submission Type
Presentation
Presentations
- Factors Influencing Users’ Attitudes Towards Using Brain Computer Interface (BCI) for Non-Medical Uses: An Application of the Technology Acceptance Model (TAM) (Wu & Halawi)
- Integrated Organizational Machine Learning for Aviation Flight Data (Pritchard et al.)
- Utilizing Deep Learning to Predict Unstabilized Approaches for General Aviation Aircraft (Misra, Jain, & Truong)
- A Bidirectional Deep LSTM Machine Learning Method for Flight Delay Modelling and Analysis (Bisandu & Moulitsas)
- Predicting Expect Departure Clearance Times Based on Weather Observations for a Major Hub Airport: A Machine Learning Approach (Misra, D'souza, & Truong)
Citation Information
John Robbins, Yichin Wu, Leila Halawi, Michael J. Pritchard, et al.. "Session 3 A – Advancing Aviation: Artificial Intelligence & Machine Learning" (2022) Available at: http://works.bepress.com/Leila-A-Halawi/99/