Modeling Drivers of Building-Sector Emissions in GCC Countries Using Advanced Machine Learning

Behnam Ata

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[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS13] Regional and global urban climate processes across multi-temporal scales

2026年5月29日(金) 10:45 〜 12:15 106 (幕張メッセ国際会議場)

座長:Varquez Galang Alvin Christopher(Institute of Science Tokyo)、Li Dan(Boston University)、日下博幸(筑波大学)、伊東瑠衣(国立研究開発法人海洋研究開発機構)

11:30 〜 11:45

[MIS13-09] Modeling Drivers of Building-Sector Emissions in GCC Countries Using Advanced Machine Learning

*Behnam Ata¹, János Pénzes¹, Gábor Kozma¹, Safwan Mohammed^2,3 (1. University of Debrecen, Department of Social Geography and Regional Development Planning, 2. Institute of Land Use, Technical and Precision Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary , 3. Institutes for Agricultural Research and Educational Farm, University of Debrecen, Böszörményi 138, 4032 Debrecen, Hungary )

キーワード：Machine Learning, GCC, GHG emissions, Urbanization, building-sector