Pääkkönen, P.; Backman, J.; Pakkala, D.; Paananen, J.; Seppänen, K.; Ahola, K.
Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles. Appl. Sci. 2022, 12, 10679.
https://doi.org/10.3390/app122010679
AMA Style
Pääkkönen P, Backman J, Pakkala D, Paananen J, Seppänen K, Ahola K.
Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles. Applied Sciences. 2022; 12(20):10679.
https://doi.org/10.3390/app122010679
Chicago/Turabian Style
Pääkkönen, Pekka, Jere Backman, Daniel Pakkala, Jori Paananen, Kari Seppänen, and Kimmo Ahola.
2022. "Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles" Applied Sciences 12, no. 20: 10679.
https://doi.org/10.3390/app122010679
APA Style
Pääkkönen, P., Backman, J., Pakkala, D., Paananen, J., Seppänen, K., & Ahola, K.
(2022). Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles. Applied Sciences, 12(20), 10679.
https://doi.org/10.3390/app122010679