Siddiqui, H.U.R.; Akmal, A.; Iqbal, M.; Saleem, A.A.; Raza, M.A.; Zafar, K.; Zaib, A.; Dudley, S.; Arambarri, J.; Castilla, Á.K.;
et al. Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors 2024, 24, 3754.
https://doi.org/10.3390/s24123754
AMA Style
Siddiqui HUR, Akmal A, Iqbal M, Saleem AA, Raza MA, Zafar K, Zaib A, Dudley S, Arambarri J, Castilla ÁK,
et al. Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors. 2024; 24(12):3754.
https://doi.org/10.3390/s24123754
Chicago/Turabian Style
Siddiqui, Hafeez Ur Rehman, Ambreen Akmal, Muhammad Iqbal, Adil Ali Saleem, Muhammad Amjad Raza, Kainat Zafar, Aqsa Zaib, Sandra Dudley, Jon Arambarri, Ángel Kuc Castilla,
and et al. 2024. "Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence" Sensors 24, no. 12: 3754.
https://doi.org/10.3390/s24123754
APA Style
Siddiqui, H. U. R., Akmal, A., Iqbal, M., Saleem, A. A., Raza, M. A., Zafar, K., Zaib, A., Dudley, S., Arambarri, J., Castilla, Á. K., & Rustam, F.
(2024). Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors, 24(12), 3754.
https://doi.org/10.3390/s24123754