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An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting in Tehran

Rezaali, M., Jahangir, M. S., Fouladi-Fard, R., & Keellings, D. (2024). An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran. Urban Climate, 55, 101950. DOI: https://doi.org/10.1016/j.uclim.2024.101950. This study proposes a novel framework for spatiotemporal forecasting of Ground-level Ozone Concentration (GOC) using advanced machine learning techniques, including Artificial Neural […]

Mostafa Rezaali

mostafarezaali@ufl.edu Google Scholar Curriculum Vitae Focus Area: Earth System Science Sustainability & Global Environmental Change Country of Origin: Iran Degree Program: PhD Entered Program: Fall 2022 Expected Graduation: Fall 2026 Dissertation Topic: TBD Research Statement: I am a research enthusiast who loves to explore and understand the governing rules of the environment. I am particularly […]