Hossain, Md Mahjib, Sikder, Rabbi, Hua, Guanghui, and Ye, Tao. From Model Development to Mitigation: Machine Learning for Predicting and Minimizing Iodinated Trihalomethanes in Water Treatment. Retrieved from https://par.nsf.gov/biblio/10617534. Environmental Science & Technology 59.23 Web. doi:10.1021/acs.est.5c05409.

Hossain, Md Mahjib, Sikder, Rabbi, Hua, Guanghui, & Ye, Tao. From Model Development to Mitigation: Machine Learning for Predicting and Minimizing Iodinated Trihalomethanes in Water Treatment. Environmental Science & Technology, 59 (23). Retrieved from https://par.nsf.gov/biblio/10617534. https://doi.org/10.1021/acs.est.5c05409

Hossain, Md Mahjib, Sikder, Rabbi, Hua, Guanghui, and Ye, Tao. "From Model Development to Mitigation: Machine Learning for Predicting and Minimizing Iodinated Trihalomethanes in Water Treatment". Environmental Science & Technology 59 (23). Country unknown/Code not available: ACS. https://doi.org/10.1021/acs.est.5c05409. https://par.nsf.gov/biblio/10617534.

@article{osti_10617534,
place = {Country unknown/Code not available}, title = {From Model Development to Mitigation: Machine Learning for Predicting and Minimizing Iodinated Trihalomethanes in Water Treatment}, url = {https://par.nsf.gov/biblio/10617534}, DOI = {10.1021/acs.est.5c05409}, abstractNote = {}, journal = {Environmental Science & Technology}, volume = {59}, number = {23}, publisher = {ACS}, author = {Hossain, Md Mahjib and Sikder, Rabbi and Hua, Guanghui and Ye, Tao}, }