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1 Ergebnisse
1
Machine learning for expediting next-generation of fire-ret..:
Jafari, Pooya
;
Zhang, Ruoran
;
Huo, Siqi
...
https://research.usq.edu.au/download/d9282a3fc1c8d8eb41b76e3779cebbc6341c044ee328b9e4f324fecccc0be390/5306901/1-s2.0-S2452213923003145-main.pdf. , 2024
Link:
https://research.usq.edu.au/item/z49yy/machine-learnin..
RT Journal T1
Machine learning for expediting next-generation of fire-retardant polymer composites
UL https://suche.suub.uni-bremen.de/peid=base-ftusqland:oai:research.usq.edu.au:z49yy&Exemplar=1&LAN=DE A1 Jafari, Pooya A1 Zhang, Ruoran A1 Huo, Siqi A1 Wang, Qingsheng A1 Yong, Jianming A1 Hong, Min A1 Deo, Ravinesh A1 Wang, Hao A1 Song, Pingan PB Elsevier YR 2024 K1 Machine learning K1 Fire retardants K1 Polymeric materials K1 Fire safety K1 Algorithm JF https://research.usq.edu.au/download/d9282a3fc1c8d8eb41b76e3779cebbc6341c044ee328b9e4f324fecccc0be390/5306901/1-s2.0-S2452213923003145-main.pdf LK http://dx.doi.org/https://research.usq.edu.au/item/z49yy/machine-learning-for-expediting-next-generation-of-fire-retardant-polymer-composites DO https://research.usq.edu.au/item/z49yy/machine-learning-for-expediting-next-generation-of-fire-retardant-polymer-composites SF ELIB - SuUB Bremen
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