A Handover Algorithm for Video Sharing over Vehicular Networks. - Lucas Pacheco; Iago Medeiros; Hugo Santos; Helder M. N. S. Oliveira; Denis do Rosário; Eduardo Cerqueira; Augusto Neto 001 (LADC, 2019)

Service Migration for Connected Autonomous Vehicles. - Lucas Pacheco; Helder M. N. S. Oliveira; Denis do Rosário; Eduardo Cerqueira; Leandro Villas; Torsten Braun (ISCC, 2020)

Experimenting Long Range Wide Area Network in an e-Health Environment: Discussion and Future Directions. - Nagib Matni; Jean Moraes; Lucas Pacheco; Denis do Rosário; Helder M. N. S. Oliveira; Eduardo Cerqueira; Augusto Neto 001 (IWCMC, 2020)

Service Migration in Edge Computing Environments for Connected Autonomous Vehicles. - Lucas Pacheco; Denis Lima do Rosário; Eduardo Coelho Cerqueira; Leandro Aparecido Villas (SBRC, 2020)

Skipping-based handover algorithm for video distribution over ultra-dense VANET. - Allan Costa; Lucas Pacheco; Denis do Rosário; Leandro Villas; Antonio A. F. Loureiro; Susana Sargento; Eduardo Cerqueira (Comput. Networks, 2020)

Mobility Management With Transferable Reinforcement Learning Trajectory Prediction. - Zhongliang Zhao; Mostafa Karimzadeh; Lucas Pacheco; Hugo Santos; Denis do Rosário; Torsten Braun; Eduardo Cerqueira (IEEE Trans. Netw. Serv. Manag., 2020)

Towards the Future of Edge Computing in the Sky: Outlook and Future Directions. - Lucas Pacheco; Helder M. N. S. Oliveira; Denis Rosário; Zhongliang Zhao; Eduardo Cerqueira; Torsten Braun; Paulo Mendes 001 (DCOSS, 2021)

Distributed User-centric Service Migration for Edge-Enabled Networks. - Lucas Pacheco; Denis do Rosário; Eduardo Cerqueira; Leandro Villas; Torsten Braun; Antonio A. F. Loureiro (IM, 2021)

Quality of experience and quality of service-aware handover for video transmission in heterogeneous networks. - Iago Medeiros; Lucas Pacheco; Denis Rosário; Cristiano Both; Jéferson Campos Nobre; Eduardo Cerqueira; Lisandro Zambenedetti Granville (Int. J. Netw. Manag., 2021)

Predictive UAV Base Station Deployment and Service Offloading With Distributed Edge Learning. - Zhongliang Zhao; Lucas Pacheco; Hugo Santos; Minghui Liu; Antonio Di Maio; Denis Rosário; Eduardo Cerqueira; Torsten Braun; Xianbin Cao 001 (IEEE Trans. Netw. Serv. Manag., 2021)

RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction. - Negar Emami; Lucas Pacheco; Antonio Di Maio; Torsten Braun (NOMS, 2022)

Federated User Clustering for non-IID Federated Learning. - Lucas Pacheco; Denis Rosário; Eduadro Cerqueira; Torsten Braun (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022)

Reinforced-LSTM Trajectory Prediction-Driven Dynamic Service Migration: A Case Study. - Zhongliang Zhao; Negar Emami; Hugo Santos; Lucas Pacheco; Mostafa Karimzadeh; Torsten Braun; Arnaud Braud; Benoit Radier; Philippe Tamagnan (IEEE Trans. Netw. Sci. Eng., 2022)

COOP: A Cooperative Optimization and Offloading Algorithm for UAV-Assisted Networks. - Carlos Rocha; Lucas Pacheco; Lucas Bastos; Luiz F. Bittencourt; Leandro A. Villas; Denis Rosário; Eduardo Cerqueira (NFV-SDN, 2024)

An Efficient Layer Selection Algorithm for Partial Federated Learning. - Lucas Pacheco; Torsten Braun; Denis Rosário; Eduardo Cerqueira (PerCom Workshops, 2024)

A Distributed Aggregation Approach for Vehicular Federated Learning. - Lucas Pacheco; Torsten Braun; Denis Rosário; Antonio Di Maio; Eduardo Cerqueira (IEEE Access, 2024)