Munir, N.; McMorrow, R.; Mulrennan, K.; Whitaker, D.; McLoone, S.; Kellomäki, M.; Talvitie, E.; Lyyra, I.; McAfee, M.
Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid. Polymers 2023, 15, 3566.
https://doi.org/10.3390/polym15173566
AMA Style
Munir N, McMorrow R, Mulrennan K, Whitaker D, McLoone S, Kellomäki M, Talvitie E, Lyyra I, McAfee M.
Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid. Polymers. 2023; 15(17):3566.
https://doi.org/10.3390/polym15173566
Chicago/Turabian Style
Munir, Nimra, Ross McMorrow, Konrad Mulrennan, Darren Whitaker, Seán McLoone, Minna Kellomäki, Elina Talvitie, Inari Lyyra, and Marion McAfee.
2023. "Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid" Polymers 15, no. 17: 3566.
https://doi.org/10.3390/polym15173566
APA Style
Munir, N., McMorrow, R., Mulrennan, K., Whitaker, D., McLoone, S., Kellomäki, M., Talvitie, E., Lyyra, I., & McAfee, M.
(2023). Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid. Polymers, 15(17), 3566.
https://doi.org/10.3390/polym15173566