Sequential prediction of quantitative health risk assessment for fine particulate matter in an underground facility using deep recurrent neural networks | ||
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Jorge Loy-Benitez, Paulina Vilela, Qian Li, ChangKyoo Yoo*, Sequential prediction of quantitative health risk assessment for fine particulate matter in an underground facility using deep recurrent neural networks, Ecotoxicology and Environmental Safety (SCI, ISSN: 0147-6513, SCI, TOP20% TOXICOLOGY), Elsevier, 169(), pp. 316-324 (2019.3) (Ack:2017R1E1A1A03070713) |
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이전글 | Social-ecological modelling of the spatial distribution of dengue fever and its temporal dynamics in Guayaquil, Ecuador for climate change adaption | |
다음글 | A real time QSAR-driven toxicity evaluation and monitoring of iron containing fine particulate matters in indoor subway stations |