Newhart, Kathryn B., Marks, Christopher A., Rauch-Williams, Tanja, Cath, Tzahi Y., and Hering, Amanda S. Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control. Retrieved from https://par.nsf.gov/biblio/10194742. Journal of Water Process Engineering 37.C Web. doi:10.1016/j.jwpe.2020.101389.

Newhart, Kathryn B., Marks, Christopher A., Rauch-Williams, Tanja, Cath, Tzahi Y., & Hering, Amanda S. Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control. Journal of Water Process Engineering, 37 (C). Retrieved from https://par.nsf.gov/biblio/10194742. https://doi.org/10.1016/j.jwpe.2020.101389

Newhart, Kathryn B., Marks, Christopher A., Rauch-Williams, Tanja, Cath, Tzahi Y., and Hering, Amanda S. "Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control". Journal of Water Process Engineering 37 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jwpe.2020.101389. https://par.nsf.gov/biblio/10194742.

@article{osti_10194742,
place = {Country unknown/Code not available}, title = {Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control}, url = {https://par.nsf.gov/biblio/10194742}, DOI = {10.1016/j.jwpe.2020.101389}, abstractNote = {}, journal = {Journal of Water Process Engineering}, volume = {37}, number = {C}, author = {Newhart, Kathryn B. and Marks, Christopher A. and Rauch-Williams, Tanja and Cath, Tzahi Y. and Hering, Amanda S.}, }