Sueker, M.; Daghighi, A.; Akhbardeh, A.; MacKinnon, N.; Bearman, G.; Baek, I.; Hwang, C.; Qin, J.; Tabb, A.M.; Roungchun, J.B.;
et al. A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors 2023, 23, 9062.
https://doi.org/10.3390/s23229062
AMA Style
Sueker M, Daghighi A, Akhbardeh A, MacKinnon N, Bearman G, Baek I, Hwang C, Qin J, Tabb AM, Roungchun JB,
et al. A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors. 2023; 23(22):9062.
https://doi.org/10.3390/s23229062
Chicago/Turabian Style
Sueker, Mitchell, Amirreza Daghighi, Alireza Akhbardeh, Nicholas MacKinnon, Gregory Bearman, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Jiahleen B. Roungchun,
and et al. 2023. "A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy" Sensors 23, no. 22: 9062.
https://doi.org/10.3390/s23229062
APA Style
Sueker, M., Daghighi, A., Akhbardeh, A., MacKinnon, N., Bearman, G., Baek, I., Hwang, C., Qin, J., Tabb, A. M., Roungchun, J. B., Hellberg, R. S., Vasefi, F., Kim, M., Tavakolian, K., & Kashani Zadeh, H.
(2023). A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors, 23(22), 9062.
https://doi.org/10.3390/s23229062
