Cannarile, F.; Compare, M.; Baraldi, P.; Di Maio, F.; Zio, E.
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components. Machines 2018, 6, 34.
https://doi.org/10.3390/machines6030034
AMA Style
Cannarile F, Compare M, Baraldi P, Di Maio F, Zio E.
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components. Machines. 2018; 6(3):34.
https://doi.org/10.3390/machines6030034
Chicago/Turabian Style
Cannarile, Francesco, Michele Compare, Piero Baraldi, Francesco Di Maio, and Enrico Zio.
2018. "Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components" Machines 6, no. 3: 34.
https://doi.org/10.3390/machines6030034
APA Style
Cannarile, F., Compare, M., Baraldi, P., Di Maio, F., & Zio, E.
(2018). Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components. Machines, 6(3), 34.
https://doi.org/10.3390/machines6030034