Joslyn, C.A.; Charles, L.; DePerno, C.; Gould, N.; Nowak, K.; Praggastis, B.; Purvine, E.; Robinson, M.; Strules, J.; Whitney, P.
A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information. Sensors 2020, 20, 3418.
https://doi.org/10.3390/s20123418
AMA Style
Joslyn CA, Charles L, DePerno C, Gould N, Nowak K, Praggastis B, Purvine E, Robinson M, Strules J, Whitney P.
A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information. Sensors. 2020; 20(12):3418.
https://doi.org/10.3390/s20123418
Chicago/Turabian Style
Joslyn, Cliff A., Lauren Charles, Chris DePerno, Nicholas Gould, Kathleen Nowak, Brenda Praggastis, Emilie Purvine, Michael Robinson, Jennifer Strules, and Paul Whitney.
2020. "A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information" Sensors 20, no. 12: 3418.
https://doi.org/10.3390/s20123418
APA Style
Joslyn, C. A., Charles, L., DePerno, C., Gould, N., Nowak, K., Praggastis, B., Purvine, E., Robinson, M., Strules, J., & Whitney, P.
(2020). A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information. Sensors, 20(12), 3418.
https://doi.org/10.3390/s20123418