Towards low-complexity wireless technology classification across multiple environments. - Jaron Fontaine; Erika Fonseca; Adnan Shahid; Maicon Kist; Luiz A. DaSilva; Ingrid Moerman; Eli De Poorter (Ad Hoc Networks, 2019)

Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach. - Boris Galkin; Ramy Amer; Erika Fonseca; Luiz A. DaSilva (5G World Forum, 2020)

Gated Recurrent Unit Neural Networks for Automatic Modulation Classification With Resource-Constrained End-Devices. - Ramiro Utrilla; Erika Fonseca; Álvaro Araujo; Luiz A. DaSilva (IEEE Access, 2020)

Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach. - Boris Galkin; Ramy Amer; Erika Fonseca; Luiz A. DaSilva (CoRR, 2020)

Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning. - Erika Fonseca; Boris Galkin; Luiz A. DaSilva; Ivana Dusparic (CoRR, 2020)

Mobility for Cellular-Connected UAVs: Challenges for the Network Provider. - Erika Fonseca; Boris Galkin; Marvin Kelly; Luiz A. DaSilva; Ivana Dusparic (EuCNC/6G Summit, 2021)

Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. - Boris Galkin; Erika Fonseca; Gavin Lee; Conor Duff; Marvin Kelly; Edward Emmanuel; Ivana Dusparic (ICC Workshops, 2021)

MMRCA: MultiModal Root Cause Analysis. - Gary White; Jaroslaw Diuwe; Erika Fonseca; Owen O'Brien (ICSOC Workshops, 2021)

Radio Access Technology characterisation through object detection. - Erika Fonseca; Joao F. Santos; Francisco Paisana; Luiz A. DaSilva (Comput. Commun., 2021)

REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. - Boris Galkin; Erika Fonseca; Ramy Amer; Luiz A. DaSilva; Ivana Dusparic (IEEE Trans. Veh. Technol., 2022)

Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach. - Erika Fonseca; Boris Galkin; Ramy Amer; Luiz A. DaSilva; Ivana Dusparic (IEEE Access, 2023)