Article Versions Notes

Bin Heyat MB, Akhtar F, Khan A, Noor A, Benjdira B, Qamar Y, Abbas SJ, Lai D. A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals. Applied Sciences. 2020; 10(21):7410. https://doi.org/10.3390/app10217410

Bin Heyat, Md Belal, Faijan Akhtar, Asif Khan, Alam Noor, Bilel Benjdira, Yumna Qamar, Syed Jafar Abbas, and Dakun Lai. 2020. "A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals" Applied Sciences 10, no. 21: 7410. https://doi.org/10.3390/app10217410

Bin Heyat, M. B., Akhtar, F., Khan, A., Noor, A., Benjdira, B., Qamar, Y., Abbas, S. J., & Lai, D. (2020). A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals. Applied Sciences, 10(21), 7410. https://doi.org/10.3390/app10217410