چکیده مقاله
This study explores the use of machine learning algorithms to evaluate the Quality of Experience QoE for Voice over Internet Protocol VoIP users It emphasizes the significance of considering personal perspectives in assessing communication experiences and examines how language affects QoE The research will conduct a comparative analysis of algorithm efficiency, including RandomForestClassifier, DecisionTreeClassifier, Linear Regression, DecisionTreeRegressor, RandomForestRegressor, Naive Bayes, and K Nearest Neighbors Objective and subjective metrics, such as noise levels, average PESQ, and user feedback, will be used to provide comprehensive insights The study aims to help providers optimize their networks for reliable, high quality services
کلیدواژهها
نویسندگان
Fatemeh Nazari
Bachelor of computer engineering, Guilan University;
Abdorreza Hesam Mohseni
University lecturer, Guilan University;
شیوه ارجاع
Nazari, Fatemeh and Hesam Mohseni, Abdorreza,1402,Qualitative Analysis of QoE Based on Machine Learning Methods,5th International Conference on Software Computing,Rudsar
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی محاسبات نرم16 اسفند 1402 · رودسر