Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference Contribution
Mohammed, Z., Asghar, M., & Kanwal, N. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.