Characterization of the End-to-End Delay in Heterogeneous Networks. - Diyar Fadhil; Rodolfo Oliveira (NoF, 2021)

Estimation of the End-to-End Delay in 5G Networks Through Gaussian Mixture Models. - Diyar Fadhil; Rodolfo Oliveira (DoCEIS, 2022)

A Novel Packet End-to-End Delay Estimation Method for Heterogeneous Networks. - Diyar Fadhil; Rodolfo Oliveira (IEEE Access, 2022)

Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models. - Diyar Fadhil; Rodolfo Oliveira (Comput., 2022)

Estimation of 5G End-to-End Delay through Deep Learning based on Gaussian Mixture Models. - Diyar Fadhil; Rodolfo Oliveira (CSCN, 2023)

Using Deep-Learning for 5G End-to-End Delay Estimation Based on Gaussian Mixture Models. - Diyar Fadhil; Rodolfo Oliveira (Inf., 2023)

Efficient Prediction of End-to-End Delay Ranges in 5G Networks. - Diyar Fadhil; Rodolfo Oliveira (CSCN, 2024)