Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms

• Main Authors: Yafouz A., Ahmed A.N., Zaini N., Sherif M., Sefelnasr A., El-Shafie A.
• Other Authors: 57221981418
• Format: Article
• Published: Taylor and Francis Ltd. 2023

To accurately predict tropospheric ozone concentration(O3), it is needed to investigate the variety of artificial intelligence techniques� performance, such as machine learning, deep learning and hybrid models. This research aims to effectively predict the hourly ozone trend via fewer input variable...