Machine learning and statistical models for predicting indoor air quality
Wei, Wenjuan, Ramalho, Olivier, Malingre, Laeticia, Sivanantham, Sutharsini, Little, John C., Mandin, Corinne
Published in Indoor air (01.09.2019)
Published in Indoor air (01.09.2019)
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Can commonly-used fan-driven air cleaning technologies improve indoor air quality? A literature review
Zhang, Yinping, Mo, Jinhan, Li, Yuguo, Sundell, Jan, Wargocki, Pawel, Zhang, Jensen, Little, John C., Corsi, Richard, Deng, Qihong, Leung, Michael H.K., Fang, Lei, Chen, Wenhao, Li, Jinguang, Sun, Yuexia
Published in Atmospheric environment (1994) (01.08.2011)
Published in Atmospheric environment (1994) (01.08.2011)
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First report of the successful operation of a side stream supersaturation hypolimnetic oxygenation system in a eutrophic, shallow reservoir
Gerling, Alexandra B., Browne, Richard G., Gantzer, Paul A., Mobley, Mark H., Little, John C., Carey, Cayelan C.
Published in Water research (Oxford) (15.12.2014)
Published in Water research (Oxford) (15.12.2014)
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A framework to model exposure to per- and polyfluoroalkyl substances in indoor environments
Eichler, Clara M. A, Little, John C
Published in Environmental science--processes & impacts (01.03.2020)
Published in Environmental science--processes & impacts (01.03.2020)
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Journal Article
Demonstrating a systems approach for integrating disparate data streams to inform decisions on children's environmental health
Hubal, Elaine A Cohen, DeLuca, Nicole M, Mullikin, Ashley, Slover, Rachel, Little, John C, Reif, David M
Published in BMC public health (15.02.2022)
Published in BMC public health (15.02.2022)
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