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MapLUR : Exploring a New Paradigm for Estimating Air Pol..:

Steininger, Michael ; Kobs, Konstantin ; Zehe, Albin...
ACM Transactions on Spatial Algorithms and Systems (TSAS). 6 (2020) 3 - p. 1-24 , 2020

Link: https://dl.acm.org/doi/10.1145/3380973

RT Journal
T1 <Title>MapLUR				: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3380973&Exemplar=1&LAN=DE
				
A1 Steininger, Michael
A1 Kobs, Konstantin
A1 Zehe, Albin
A1 Lautenschlager, Florian
A1 Becker, Martin
A1 Hotho, Andreas
PB ACM
YR 2020
SN 2374-0353
SN 2374-0361
K1 Land-use regression
K1 air pollution
K1 deep learning
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Applied computing
K1 Physical sciences and engineering
K1 Earth and atmospheric sciences
K1 Environmental sciences
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision representations
K1 Image representations
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
JF ACM Transactions on Spatial Algorithms and Systems (TSAS)
VO 6
IS 3
SP 1
OP 24
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3380973
DO https://dl.acm.org/doi/10.1145/3380973
SF ELIB - SuUB Bremen

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