Article Versions Notes

Ekerete I, Garcia-Constantino M, Konios A, Mustafa MA, Diaz-Skeete Y, Nugent C, McLaughlin J. Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods. Applied Sciences. 2021; 11(19):9096. https://doi.org/10.3390/app11199096

Ekerete, Idongesit, Matias Garcia-Constantino, Alexandros Konios, Mustafa A. Mustafa, Yohanca Diaz-Skeete, Christopher Nugent, and James McLaughlin. 2021. "Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods" Applied Sciences 11, no. 19: 9096. https://doi.org/10.3390/app11199096

Ekerete, I., Garcia-Constantino, M., Konios, A., Mustafa, M. A., Diaz-Skeete, Y., Nugent, C., & McLaughlin, J. (2021). Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods. Applied Sciences, 11(19), 9096. https://doi.org/10.3390/app11199096