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1 Ergebnisse
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Machine learning-based models to predict aquatic ecological..:
Qi, Qi
;
Wang, Zhuang
Environmental Science and Pollution Research. 31 (2024) 17 - p. 25114-25128 , 2024
Link:
https://doi.org/10.1007/s11356-024-32723-1
RT Journal T1 <Title>Machine learning-based models to predict aquatic ecological risk for engineered nanoparticles: using hazard concentration for 5% of species as an endpoint</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11356-024-32723-1&Exemplar=1&LAN=DE A1 Qi, Qi A1 Wang, Zhuang PB Springer Science and Business Media LLC YR 2024 SN 1614-7499 JF Environmental Science and Pollution Research VO 31 IS 17 SP 25114 OP 25128 LK http://dx.doi.org/https://doi.org/10.1007/s11356-024-32723-1 DO https://doi.org/10.1007/s11356-024-32723-1 SF ELIB - SuUB Bremen
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