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Abstract: Hybrid Transfer Learning for PM<sub>2.5</sub> Estimation in Regions with Sparse Ground-Based Data: A Scalable Framework (AGU25)

Hybrid Transfer Learning for PM2.5 Estimation in Regions with Sparse Ground-Based Data: A Scalable Framework

Muhammad Jawad Hussain1, Myeongsu Seong2, Behjat Shahid3 and Heming Bai1, (1)Nantong University, Research Center for Intelligent Information Technology, Nantong, China, (2)Xi’an Jiaotong-Liverpool University, Department of Mechatronics and Robotics, Suzhou, China, (3)University of Central Punjab, Faculty of Media and Communication Studies, Lahore, Pakistan
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