Can I read Airpot Hackathon Paper on EtoBox?

Airpot Hackathon Paper by neeldevenshah is a document available to read on EtoBox.

What is Airpot Hackathon Paper about?

This study develops a multi-branch convolutional neural network (MB-ResNet) to predict hourly airport operational throughput, focusing on the impact of convective weather on airfield efficiency. Using Rapid Refresh (RAP) weather data from NOAA, the research demonstrates that advanced machine learning techniques can enhance predictions of airport throughput, which is crucial for resource allocation and operational efficiency. The findings aim to fill a gap in existing literature regarding short-term throughp

Author

neeldevenshah

Language

EN