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001     906242
005     20230127125340.0
024 7 _ |a 10.54050/PRJ1218384
|2 doi
024 7 _ |a 2128/30686
|2 Handle
037 _ _ |a FZJ-2022-01318
041 _ _ |a English
100 1 _ |a Schultz, Martin
|0 P:(DE-Juel1)6952
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245 _ _ |a Artificial intelligence for air quality
260 _ _ |a Staffordshire
|c 2022
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536 _ _ |a IntelliAQ - Artificial Intelligence for Air Quality (787576)
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536 _ _ |0 G:(DE-Juel-1)ESDE
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700 1 _ |a Kleinert, Felix
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700 1 _ |a Leufen, Lukas Hubert
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700 1 _ |a Betancourt, Clara
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700 1 _ |a Schröder, Sabine
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700 1 _ |a Gong, Bing
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700 1 _ |a Stadtler, Scarlet
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700 1 _ |a Langguth, Michael
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700 1 _ |a Mozaffari, Amirpasha
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773 _ _ |a 10.54050/PRJ1218384
|g Vol. 12, no. 1, p. 70 - 73
|0 PERI:(DE-600)2972541-0
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|p 70 - 73
|t The project repository journal
|v 12
|y 2022
|x 2632-4067
856 4 _ |u https://juser.fz-juelich.de/record/906242/files/Schultz_INTELLIAQ_PrJ_2022.pdf
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