Analysis and modeling of mobile traffic using real traces. - Hoang Duy Trinh; Nicola Bui; Joerg Widmer; Lorenza Giupponi; Paolo Dini (PIMRC, 2017)

Mobile Traffic Prediction from Raw Data Using LSTM Networks. - Hoang Duy Trinh; Lorenza Giupponi; Paolo Dini (PIMRC, 2018)

Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks. - Hoang Duy Trinh; Lorenza Giupponi; Paolo Dini (SECON, 2019)

Unveiling Radio Resource Utilization Dynamics of Mobile Traffic through Unsupervised Learning. - Arcangela Rago; Giuseppe Piro; Hoang Duy Trinh; Gennaro Boggia; Paolo Dini (TMA, 2019)

Detecting Mobile Traffic Anomalies Through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach. - Hoang Duy Trinh; Engin Zeydan; Lorenza Giupponi; Paolo Dini (IEEE Access, 2019)

Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach. - Hoang Duy Trinh; Ángel Fernández Gambín; Lorenza Giupponi; Paolo Dini (CoRR, 2019)

Proactive Wake-up Scheduler based on Recurrent Neural Networks. - Soheil Rostami; Hoang Duy Trinh; Sandra Lagén; Mário Costa; Mikko Valkama; Paolo Dini (ICC, 2020)

Wake-Up Scheduling for Energy-Efficient Mobile Devices. - Soheil Rostami; Hoang Duy Trinh; Sandra Lagén; Mário Costa; Mikko Valkama; Paolo Dini (IEEE Trans. Wirel. Commun., 2020)

Data analytics for mobile traffic in 5G networks using machine learning techniques. - Hoang Duy Trinh (2020)

Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach. - Hoang Duy Trinh; Ángel Fernández Gambín; Lorenza Giupponi; Michele Rossi; Paolo Dini (IEEE Trans. Netw. Serv. Manag., 2021)