Hamshaw, Scott D., Dewoolkar, Mandar M., Schroth, Andrew W., Wemple, Beverley C., and Rizzo, Donna M. A New Machine-Learning Approach for Classifying Hysteresis in Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data. Water Resources Research 54.6 Web. doi:10.1029/2017WR022238.

Hamshaw, Scott D., Dewoolkar, Mandar M., Schroth, Andrew W., Wemple, Beverley C., & Rizzo, Donna M. A New Machine-Learning Approach for Classifying Hysteresis in Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data. Water Resources Research, 54 (6). https://doi.org/10.1029/2017WR022238

Hamshaw, Scott D., Dewoolkar, Mandar M., Schroth, Andrew W., Wemple, Beverley C., and Rizzo, Donna M. "A New Machine-Learning Approach for Classifying Hysteresis in Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data". Water Resources Research 54 (6). Japan: DOI PREFIX: 10.1029. https://doi.org/10.1029/2017WR022238. https://par.nsf.gov/biblio/10062234.

@article{osti_10062234,
place = {Japan}, title = {A New Machine-Learning Approach for Classifying Hysteresis in Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data}, url = {https://par.nsf.gov/biblio/10062234}, DOI = {10.1029/2017WR022238}, abstractNote = {Not Available}, journal = {Water Resources Research}, volume = {54}, number = {6}, publisher = {DOI PREFIX: 10.1029}, author = {Hamshaw, Scott D. and Dewoolkar, Mandar M. and Schroth, Andrew W. and Wemple, Beverley C. and Rizzo, Donna M.}, }