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Hoang Duy Trinh
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2020 – today
- 2021
- [j3]Hoang Duy Trinh, Ángel Fernández Gambín, Lorenza Giupponi
, Michele Rossi
Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach. IEEE Trans. Netw. Serv. Manag. 18(2): 1946-1961 (2021) - 2020
- [b1]Hoang Duy Trinh:
Data analytics for mobile traffic in 5G networks using machine learning techniques. Polytechnic University of Catalonia, Spain, 2020 - [j2]Soheil Rostami
Wake-Up Scheduling for Energy-Efficient Mobile Devices. IEEE Trans. Wirel. Commun. 19(9): 6020-6036 (2020) - [c5]Soheil Rostami, Hoang Duy Trinh, Sandra Lagén, Mário Costa, Mikko Valkama
Proactive Wake-up Scheduler based on Recurrent Neural Networks. ICC 2020: 1-6
2010 – 2019
- 2019
- [j1]Hoang Duy Trinh
Detecting Mobile Traffic Anomalies Through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach. IEEE Access 7: 152187-152201 (2019) - [c4]Hoang Duy Trinh, Lorenza Giupponi, Paolo Dini:
Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks. SECON 2019: 1-8 - [c3]Arcangela Rago
Unveiling Radio Resource Utilization Dynamics of Mobile Traffic through Unsupervised Learning. TMA 2019: 209-214 - [i1]Hoang Duy Trinh, Ángel Fernández Gambín, Lorenza Giupponi, Paolo Dini:
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach. CoRR abs/1910.11617 (2019) - 2018
- [c2]Hoang Duy Trinh, Lorenza Giupponi, Paolo Dini
Mobile Traffic Prediction from Raw Data Using LSTM Networks. PIMRC 2018: 1827-1832 - 2017
- [c1]Hoang Duy Trinh, Nicola Bui, Joerg Widmer
Analysis and modeling of mobile traffic using real traces. PIMRC 2017: 1-6
Coauthor Index
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