| Deep reinforcement learning applied to congestion control in fronthaul networks I Nascimento, R Souza, S Lins, A Silva, A Klautau 2019 IEEE Latin-American Conference on Communications (LATINCOM), 1-6, 2019 | 11 | 2019 |
| Deep learning in rat and modulation classification with a new radio signals dataset I Nascimento, F Mendes, M Dias, A Silva, A Klautau Proc. 36th Simposio Brasileiro Telecomunicacoes Processamento Sinais (SBrT), 2018 | 4 | 2018 |
| Public dataset of parking lot videos for computational vision applied to surveillance I Nascimento, P Castro, S Klautau, L Gonçalves, F Brito, A Klautau, S Lins 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 3 | 2020 |
| Signal compression for efficient partitioning of deep neural networks F Brito, I Nascimento, L Goncalves, S Lins, N Linder, A Klautau Proc. Anais Simpósio Brasileiro Telecomun. Sinais, 1-5, 2020 | 1 | 2020 |
| Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks A Klautau, I Correa, F Bastos, I Nascimento, J Borges, A Oliveira, P Batista, ... Deep Learning and Its Applications for Vehicle Networks, 321-342, 2023 | | 2023 |
| Aprendizagem profunda aplicada a telecomunicações: classificação de modulação e controle de congestionamento IAS NASCIMENTO Universidade Federal do Pará, 2019 | | 2019 |
| DRL-Based Scheduling With Support to Time-Varying Number of Active Users I Nascimento, S Lins, A Klautau | | |
| Beam-Selection MiniGrid Environment for 5G and 6G Networks Applications R Aben-Athar, C Braun, I Nascimento, J Borges, A Klautau | | |
| Splitted Neural Networks for Equipment Inspection: Experiments and Resources L Gonçalves, T Guerreiro, S Pinheiro, F de Brito, I Nascimento, N Linder, ... | | |
