Ayisat Asaju-Gbolagade

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science, Artificial Intelligence, Computer Science Applications

Scopus Publications

An overview of enhancing encryption standards for multimedia in explainable artificial intelligence using residue number systems for security




Implementation of quality of experience prediction framework through mobile network data




Towards real-time customer satisfaction prediction model for mobile internet networks
Ayisat W. Yusuf-Asaju, Zulkhairi B. Dahalin, and Azman Ta’a
Springer International Publishing



Implementation of quality of experience prediction framework through mobile network data




Framework for modelling mobile network quality of experience through big data analytics approach




Mobile network quality of experience using big data analytics approach
Ayisat W. Yusuf-Asaju, Zulkhairi B. Dahalin, and Azman Ta'a
IEEE
Traditionally, Quality of experience is mostly examined in a laboratory experiments to enable a fixed contextual factor. While the results present an estimated mean opinion score representing perceived QoE. It is imperative to estimate mean opinion score employing large data (big data) gathered from the mobile network comprising of different user's location and time for a specific service. Because time and location can have a huge influence on the user perceived quality of experience. Therefore, this paper proposed a framework for modelling perceived QoE through big data analytics. The proposed framework describes the process of estimating perceived quality of experience to assist the mobile network operators effectively manage the network performance and aid satisfactory provision of mobile internet services.


A proposed analytical customer satisfaction prediction model for mobile internet networks

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