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Deep Air Quality Forecasts: Suspended Particulate Matter Mo..:

Sharma, Ekta ; Deo, Ravinesh C ; Prasad, Ramendra..
https://research.usq.edu.au/download/db44e7a0585e092a8939b6162aa250f3a8c7f75aed1e9aca29f4b8f7b0fbc014/2647124/09262844.pdf. , 2020

Link: https://research.usq.edu.au/item/q6008/deep-air-qualit..

RT Journal
T1 <Title>Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftusqland:oai:research.usq.edu.au:q6008&Exemplar=1&LAN=DE
				
A1 Sharma, Ekta
A1 Deo, Ravinesh C
A1 Prasad, Ramendra
A1 Parisi, Alfio
A1 Raj, Nawin
PB IEEE (Institute of Electrical and Electronics Engineers)
YR 2020
K1 Air quality forecasting
K1 convolutional neural networks
K1 deep learning
K1 long short-term memory networks
JF https://research.usq.edu.au/download/db44e7a0585e092a8939b6162aa250f3a8c7f75aed1e9aca29f4b8f7b0fbc014/2647124/09262844.pdf
LK http://dx.doi.org/https://research.usq.edu.au/item/q6008/deep-air-quality-forecasts-suspended-particulate-matter-modeling-with-convolutional-neural-and-long-short-term-memory-networks
DO https://research.usq.edu.au/item/q6008/deep-air-quality-forecasts-suspended-particulate-matter-modeling-with-convolutional-neural-and-long-short-term-memory-networks
SF ELIB - SuUB Bremen

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