Hybrid intelligent model for real time assessment of voice quality of service
Tài liệu tham khảo
Akinyokun, 2013, Experimental study of neuro -fuzzy-generic framework for oil spillage risk management, Artif. Intell. Res., 2, 13, 10.5430/air.v2n4p13
Akpan, 2019, Experimental study of a hybrid intelligent system for flood risk management, Int. J. Curr. Adv. Res., 8, 17593
Ali, 2017, Analysis of brand image effect on advertising awareness using a neuro – fuzzy and a neural network prediction models, Int. J. Comput. Intell. Syst., 10, 610
Alisha C. (2012), A Summary of Network Traffic Monitoring and Analysis Techniques, online:www.cse.wustl.edu/ftp/netmonitoring/indexhtml[Retrieved on 23/09/2019].
Amoo, 2015, Modeling and simulation of a predictive customer churn model for telecommunication industry, CIS J., 630
Call Manager Link [Web site] URL http:/callmanager.edupowerworld.com.
Delgado, 2013, Fuzzy neuron clustering the key performance indicators for QoS assessment in terrestrial trunked radio (TETRA) network approach, Int. J. Mobile Network Commun. Telemat. (IJMNCT), 3, 6
Jameel, 2017, QoS Performance Evaluation of Voice Over LTE Network, Jameel and Shafiei, J Electr Electron Syst, 6, 1, 10.4172/2332-0796.1000216
Kadio_glu, 2015, Quality of service assessment: a case study on Performance benchmarking of cellular network operators in Turkey, Turkish Journal of Electrical Engineering & Computer Sciences, J. Electr. Eng. Comput. Sci.
Kirti T. & Arun, S. (2014), An Adaptive Neuro Fuzzy Model for Estimating the Reliability of Component-Based Software Systems.
Kumar, 2017, Comparative analysis of operational performance of cellular mobile telephone service providers in the Delhi working area using an approach of fuzzy ELECTRE, Appl. Soft Comput. J., 10.1016/j.asoc.2017.06.019
Li, 2014, A real-time QoE methodology for AMR Codec voice in mobile network, Sci. China Inf. Sci.
Liu, 2010, A neuro-fuzzy control alarm on momentum of driving behavior for detecting and combating driver fatigue, J. Chin. Inst. Ind. Eng.
Lulu, 2014
Mebawondu, 2012, The impact of information technology on poverty alleviation in Nigeria, Wilolud J. Cont. J. Inf. Technol., 6, 1
Mebawondu, 2018
Mohamed, 2015, Multi-layer perception type artificial neural network based traffic control, Indian J. Sci. Technol., 9
2017
Ozovehe, 2015, Performance analysis of GSM network in Minna Metropol is of Nigeria, Nigerian J. Technol. (NIJOTECH), 34, 359, 10.4314/njt.v34i2.21
Sulaiman, 2007, Performance Evaluation of Traffic mix in IP based networks
Peerapong, 2019, Estimating and synthesizing QoE based on QoS measurement for improving multimedia services on cellular networks using ANN method, IEEE Trans. Netw. Serv. Manage.
Pessemier, 2015
Yingrong, 2019, Voice/Video quality measurement for LTE services, IEEE Wireless Commun.