[HTML][HTML] A novel hybrid machine learning classification for the detection of bruxism patients using physiological signals
Featured Application 1. The hybrid machine learning (HML) classifier can easily classify the
subjects (healthy and bruxism), sleep stages (w and REM), and both with high accuracy. 2 …
subjects (healthy and bruxism), sleep stages (w and REM), and both with high accuracy. 2 …
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor, B Benjdira… - 2020 - agris.fao.org
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …
[PDF][PDF] A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor, B Benjdira… - academia.edu
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals.
MB Bin Heyat, F Akhtar, A Khan… - Applied Sciences …, 2020 - search.ebscohost.com
Abstract Featured Application: 1. The hybrid machine learning (HML) classifier can easily
classify the subjects (healthy and bruxism), sleep stages (w and REM), and both with high …
classify the subjects (healthy and bruxism), sleep stages (w and REM), and both with high …
[PDF][PDF] A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor, B Benjdira… - pdfs.semanticscholar.org
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …
[PDF][PDF] A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor, B Benjdira… - researchgate.net
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …
A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor… - Applied …, 2020 - search.proquest.com
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …
[PDF][PDF] A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
MBB Heyat, F Akhtar, A Khan, A Noor, B Benjdira… - academia.edu
Bruxism is a sleep disorder in which the patient clinches and gnashes their teeth. Bruxism
detection using traditional methods is time-consuming, cumbersome, and expensive …
detection using traditional methods is time-consuming, cumbersome, and expensive …