Uz, M. Et Al. 2023. Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021. International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly , (Berlin, Germany), 1.

Uz, M., Akyılmaz, O., Shum, C., Atman, K. G., Olgun, S., & Güneş, Ö., (2023). Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021 . International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly (pp.1). Berlin, Germany

Uz, Metehan Et Al. "Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021," International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly, Berlin, Germany, 2023

Uz, Metehan Et Al. "Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021." International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly , Berlin, Germany, pp.1, 2023

Uz, M. Et Al. (2023) . "Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021." International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly , Berlin, Germany, p.1.

@conferencepaper{conferencepaper, author={Metehan Uz Et Al. }, title={Deep Learning-Aided High-Resolution Temporal Gravity Field Simulations: Monthly global mass grids and Spherical Harmonics from 1994 to 2021}, congress name={International Union of Geodesy and Geophysics (IUGG) 2023 General Assembly}, city={Berlin}, country={Germany}, year={2023}, pages={1} }