Ortiz-Barrios, M.; Järpe, E.; GarcÃa-Constantino, M.; Cleland, I.; Nugent, C.; Arias-Fonseca, S.; Jaramillo-Rueda, N.
Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients. Sensors 2022, 22, 5410.
https://doi.org/10.3390/s22145410
AMA Style
Ortiz-Barrios M, Järpe E, GarcÃa-Constantino M, Cleland I, Nugent C, Arias-Fonseca S, Jaramillo-Rueda N.
Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients. Sensors. 2022; 22(14):5410.
https://doi.org/10.3390/s22145410
Chicago/Turabian Style
Ortiz-Barrios, Miguel, Eric Järpe, MatÃas GarcÃa-Constantino, Ian Cleland, Chris Nugent, Sebastián Arias-Fonseca, and Natalia Jaramillo-Rueda.
2022. "Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients" Sensors 22, no. 14: 5410.
https://doi.org/10.3390/s22145410
APA Style
Ortiz-Barrios, M., Järpe, E., GarcÃa-Constantino, M., Cleland, I., Nugent, C., Arias-Fonseca, S., & Jaramillo-Rueda, N.
(2022). Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients. Sensors, 22(14), 5410.
https://doi.org/10.3390/s22145410
