Shaping the future through research and ingenuity

M. Silva and J. Fonseca and D. Abreu and P. Martins and P. Duarte and R. Barbosa and B. Mendes and J. Silva and A. Goes and M. Araújo and B. Sousa and M. Curado and J. Santos, "O-RAN and RIC compliant solutions for Next Generation Networks", IEEE INFOCOM 2023 - Next-generation Open and Programmable Radio Access Networks, 2023

B. M. M. Rocha and E. Kaimakamis and G. Cheimariotis and G. Petmezas and V. Kilintzis and D. Pessoa and A. Marques and P. d. Carvalho and R. P. Paiva and N. Maglaveras and W. Yunan and E. Chatzis and S. Leandros and S. Kotoulas and M. Bitzani and K. A. K., "A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters", Expert Systems with Applications, vol. 235, pp. 121089-121089, 2024

D. Pessoa and B. M. M. Rocha and M. Gomes and G. Rodrigues and G. Petmezas and G. Cheimariotis and N. Maglaveras and A. Marques and I. Frerichs and P. d. Carvalho and R. P. Paiva, "Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound", Biomedical Signal Processing and Control, vol. 87, pp. 105451-105451, 2024

R. H. L. Rosero and C. Silva and B. Ribeiro and B. F. Santos, "Label Synchronization for Hybrid Federated Learning in Manufacturing and Predictive Maintenance", Journal of Intelligent Manufacturing, Springer, vol. Accepted for publication, 2023