A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learning-Reference-Cited by-同舟云学术

A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learning

Published:2023-01 Issue: Volume:857 Page:159542
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Yang Qianqian,Yuan Qiangqiang,Gao Meng,Li Tongwen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference60 articles.

1. Statistically correlated multi-task learning for autonomous driving;Abbas;Neural Comput. & Applic.,2021

2. Evaluating the multi-task learning approach for land use regression modelling of air pollution;Andrzej Dulny;J. Phys. Conf. Ser.,2021

3. Deep learning for physical processes: incorporating prior scientific knowledge;de Bézenac;J. Stat. Mech: Theor Exp.,2019

4. SCIAMACHY: mission objectives and measurement modes;Bovensmann;J. Atmos. Sci.,1999

5. Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques;Chang;Sci. Total Environ.,2020

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