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Title	Machine And Deep Learning Using Remote Sensing To Reach Zero Emission Cities: A Survey
ID_Doc	35862
Authors	Diodati D.; Cruciani A.; Natale A.
Year	2022
Published	ISC2 2022 - 8th IEEE International Smart Cities Conference
DOI	http://dx.doi.org/10.1109/ISC255366.2022.9921928
Abstract	Reducing the city emissions through focus actions is essential to fight climate change. The advancement of technology has opened new opportunities to support organizations and governments during mitigation actions. With this contribution, we offer an in-depth evaluation of how machine learning, deep learning, and remote sensing technologies can support the transition to zero-emission cities. The paper explores different application domains, describing recent works useful for energy assessment, facilities monitoring, laws enforcement and energy savings actions. Applying these solutions on a large base offers a real opportunity to develop new policies and operations for cities and planet Earth sustainability. © 2022 IEEE.
Author Keywords	artificial intelligence; deep learning; machine learning; remote sensing; smart cities; zero emissions

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