| Particle swarm optimisation: a historical review up to the current developments D Freitas, LG Lopes, F Morgado-Dias Entropy 22 (3), 362, 2020 | 357 | 2020 |
| Economic feasibility analysis of small scale PV systems in different countries FMD Sandy Rodrigues, , Roham Torabikalaki, Fábio Faria, Nuno Cafôfo, Xiaoju ... Solar Energy 131, 81-95, 2016 | 269 | 2016 |
| A review of obstructive sleep apnea detection approaches F Mendonca, SS Mostafa, AG Ravelo-Garcia, F Morgado-Dias, T Penzel IEEE journal of biomedical and health informatics 23 (2), 825-837, 2018 | 254 | 2018 |
| Neuro-fuzzy systems: a survey J Vieira, FM Dias, A Mota 5th WSEAS NNA international conference on neural networks and applications …, 2004 | 246 | 2004 |
| A systematic review of detecting sleep apnea using deep learning SS Mostafa, F Mendonça, A G. Ravelo-García, F Morgado-Dias Sensors 19 (22), 4934, 2019 | 219 | 2019 |
| Artificial neural networks: a review of commercial hardware FM Dias, A Antunes, AM Mota Engineering Applications of Artificial Intelligence 17 (8), 945-952, 2004 | 204 | 2004 |
| Devices for home detection of obstructive sleep apnea: A review F Mendonça, SS Mostafa, AG Ravelo-García, F Morgado-Dias, T Penzel Sleep medicine reviews 41, 149-160, 2018 | 151 | 2018 |
| A review of approaches for sleep quality analysis F Mendonça, SS Mostafa, F Morgado-Dias, AG Ravelo-Garcia, T Penzel Ieee Access 7, 24527-24546, 2019 | 142 | 2019 |
| Artificial neural networks M Dias On-line 1 (2), 47-54, 2010 | 135* | 2010 |
| Deep learning-based automatic safety helmet detection system for construction safety A Hayat, F Morgado-Dias Applied Sciences 12 (16), 8268, 2022 | 123 | 2022 |
| Human activity recognition for elderly people using machine and deep learning approaches A Hayat, F Morgado-Dias, BP Bhuyan, R Tomar Information 13 (6), 275, 2022 | 106 | 2022 |
| Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study J Vieira, FM Dias, A Mota Engineering Applications of Artificial Intelligence 17 (3), 265-273, 2004 | 99 | 2004 |
| SpO2 based sleep apnea detection using deep learning SS Mostafa, F Mendonça, F Morgado-Dias, A Ravelo-García 2017 IEEE 21st international conference on intelligent engineering systems …, 2017 | 96 | 2017 |
| Economic analysis of photovoltaic systems for the residential market under China's new regulation S Rodrigues, X Chen, F Morgado-Dias Energy Policy 101, 467-472, 2017 | 96 | 2017 |
| A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function P Ferreira, P Ribeiro, A Antunes, FM Dias Neurocomputing 71 (1-3), 71-77, 2007 | 86 | 2007 |
| Multi-objective hyperparameter optimization of convolutional neural network for obstructive sleep apnea detection SS Mostafa, F Mendonca, AG Ravelo-Garcia, GG Juliá-Serdá, ... IEEE Access 8, 129586-129599, 2020 | 66 | 2020 |
| Performance comparison of ANN training algorithms for classification FD Baptista, S Rodrigues, F Morgado-Dias 2013 IEEE 8th International Symposium on Intelligent Signal Processing, 115-120, 2013 | 52 | 2013 |
| The duck curve characteristic and storage requirements for greening the island of Porto Santo R Torabi, A Gomes, F Morgado-Dias 2018 Energy and Sustainability for Small Developing Economies (ES2DE), 1-7, 2018 | 49 | 2018 |
| Implementation strategy of convolution neural networks on field programmable gate arrays for appliance classification using the voltage and current (VI) trajectory D Baptista, SS Mostafa, L Pereira, L Sousa, F Morgado-Dias Energies 11 (9), 2460, 2018 | 48 | 2018 |
| A survey of artificial neural network training tools D Baptista, F Morgado-Dias Neural Computing and Applications 23 (3), 609-615, 2013 | 48 | 2013 |
Sheikh Shanawaz MostafaUniversidade de Lisboa, Instituto Superior Técnico, Portugal, ITI/LarsysVerified email at tecnico.ulisboa.pt
