9 matching use cases
Federal Government ×Transportation ×ARC: Ames Research Center ×
OMB-IND-NASA-11OMB Individually Reported

Explainable and robust deep semi-supervised model for multi-class anomaly detection in flight data

This model is a semi-supervised deep learning based anomaly detection for aircraft flight data. It is designed to work when a small subset of data is reviewed and labeled by exper…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-18OMB Individually Reported

Machine Learning Airport Surface Model: Airport Configuration Prediction

The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models inte…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-19OMB Individually Reported

Machine Learning Airport Surface Model: Arrival Runway Prediction

The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models int…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-20OMB Individually Reported

Machine Learning Airport Surface Model: Departure Runway Prediction

The ML-airport-departure-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models i…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-23OMB Individually Reported

Machine Learning Airport Surface Model: Taxi-out Prediction

The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-25OMB Individually Reported

NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis

The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as m…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-26OMB Individually Reported

NextGen Data Analytics: Letters of Agreement

Today, operation constraints are documented via Standard Operating Procedures (SOP) and Letters of Agreement (LOA) and are not made available to the public in a consistent manner.…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-33OMB Individually Reported

Unsupervised anomaly detection in flight data with deep variational autoencoders

This model is an unsupervised deep learning based anomaly detection for aircraft flight data based on variational autoencoders with convolutional architecture. The model is design…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-5OMB Individually Reported

Autoresolver/Tailored Arrival Manager

The Autoresolver system is a tool for autonomous air traffic management. It is designed to perform many of the tasks that air-traffic controllers have historically performed inclu…

OMB Individually ReportedTransportationLow risk