| Comparing LSTM and GRU models to predict the condition of a pulp paper press BC Mateus, M Mendes, JT Farinha, R Assis, AM Cardoso Energies 14 (21), 6958, 2021 | 78 | 2021 |
| Anticipating future behavior of an industrial press using LSTM networks BC Mateus, M Mendes, JT Farinha, AM Cardoso Applied Sciences 11 (13), 6101, 2021 | 28 | 2021 |
| Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry B Mateus, M Mendes, JT Farinha, AB Martins, AM Cardoso Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and …, 2022 | 9 | 2022 |
| Production Optimization versus Asset Availability -a Review BC Mateus, JT Farinha, AM Cardoso WSEAS Transactions on Systems and Control 15 (1), 320-332, 2020 | 7 | 2020 |
| Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks BC Mateus, M Mendes, JT Farinha, AJM Cardoso, R Assis, LM da Costa Applied Sciences 13 (1), 178, 2022 | 4 | 2022 |
| Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press. Energies 2021, 14, 6958 BC Mateus, M Mendes, JT Farinha, R Assis, AM Cardoso s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 4 | 2021 |
| Improved GRU prediction of paper pulp press variables using different pre-processing methods BC Mateus, M Mendes, J Torres Farinha, A Marques Cardoso, R Assis, ... Production & Manufacturing Research 11 (1), 2155263, 2023 | 3 | 2023 |
| Predicting the health status of a pulp press based on deep neural networks and hidden markov models A Martins, B Mateus, I Fonseca, JT Farinha, J Rodrigues, M Mendes, ... Energies 16 (6), 2651, 2023 | 3 | 2023 |
| Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks BC Mateus, JT Farinha, M Mendes Energies 17 (2), 296, 2024 | 2 | 2024 |
| Manutenção de equipamentos de Smart Grids suportada em sistemas Fuzzy BPC Mateus | | 2021 |
| Modelação por séries temporais: aplicação à estimação da produção de aço BPC Mateus | | 2019 |
| Production Optimization Indexed to the Market Demand Through Neural Networks BPC Mateus | | |
| Otimização e Previsão da Produção Usando Redes Neuronais Recorrentes B Mateus | | |
José Torres FarinhaProfessor de Engenharia de ManutençãoVerified email at dem.uc.pt
