A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI — mentioned by belter

Fri, 09 Jul 2021 18:55:07 GMT

https://arxiv.org/pdf/2107.04010.pdf "...The presence of snow and ice on runway surfaces reduces the available tire-pavement friction needed for retardation and directional control and causes potential economic and safety threats for the aviation industry during the winter seasons... ...To activate appropriate safety procedures, pilots need accurate and timely information on the actual runway surface conditions. In this study, XGBoost is used to create a combined runway assessment system, which includes a classification model to predict slippery conditions and a regression model to predict…

Paper and discussion history. A mention is not an endorsement.

A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI — HN submission

Fri, 09 Jul 2021 18:55:07 GMT

A Machine Learning Approach to Safer Airplane Landings

1 point; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI · HackerPapers discussions

A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI — mentioned by belter

A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI — HN submission