ARCHIVES

1. Han, J., Liu, H., & Liang, J. (2019). Real-Time Drowsiness Detection System for Drivers Based on Eye-Tracking and Image
Processing. IEEEAccess,7,173592-173601.doi:10.1109/ACCESS.2019.2950676.
2. A. Hussain, M. Raza, and M. Farooq, "Real-time Driver Drowsiness Detection using Convolutional Neural Networks," in Journal of
Ambient Intelligence and Humanized Computing, vol. 12, no. 2, pp. 1487-1499, Feb. 2021, doi: 10.1007/s12652-020-02870-w.
3. N. Srikaew and K. Charoenboon, "Eyeblink detection for drowsiness warning system: A review," in 2019 16th International Joint
Conference on Computer Science and Software Engineering (JCSSE), pp. 38-43, Jul. 2019, doi: 10.1109/JCSSE.2019.8860075.
4. J. Liu and Y. Cai, "Real-time Driver Drowsiness Detection System Based on Deep Learning and EOG," in IEEE Access, vol. 8, pp.
212690- 212699, Oct. 2020, doi:10.1109/ACCESS.2020.3031715.5. R. Mohammadi, A. Al-Naji, H. M. Al-Rizzo, and
H. T. Al-Rizzo, "A Review of Driver Drowsiness Detection Systems," in IEEE Access, vol. 8, pp. 152166- 152183, Aug. 2020, doi:
10.1109/ACCESS.2020.3013186.
6.G. Haldorai and A. Ramu, "An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer," in Intelligent
Multidimensional Data and Image Processing, 1st ed., Eds. P.Wang M. M. Gupta, Y. Liu, L. Zhang, and Y. Pan, Eds. Boca Raton, FL, USA:
CRC Press, 2019, pp. 306-319, doi: 10.1201/9781315142097-22.
7. A. Dey, R. Rafi, and S. Parash, "Fake News Pattern Recognition using Linguistic Analysis," in 2018 International Conference on
Innovations in Electronics, Communication and Information Technology (ICIEV) and 2018 3rd International Conference on Imaging,
Vision and Pattern Recognition (ICIVPR), pp. 269-273, May 2018, doi: 10.1109/ICIEV.2018.8641301.
8.M. Suganya and H. Anandakumar, "Handover based spectrum allocation in cognitive radio networks," in 2013 International Conference
on Green Computing, Communication and Conservation of Energy (ICGCE), pp. 147-151, Dec. 2013, doi: 10.1109/ICGCE.2013.6921984.
9.M. B. N., "Facial Features Monitoring for Real Time Drowsiness Detection," in 2016 12th International Conference on Innovations in
Information Technology (IIT), pp. 251-255, Nov.2016, doi: 10.1109/INNOVATIONS.2016.7880032.
10.A. Rahman, "Real Time Drowsiness Detection using Eye Blink Monitoring," in 2015 National Software Engineering Conference
(NSEC), Islamabad, Pakistan, 2015, pp. 1-6, doi:10.1109/NSEC.2015.7093019.