Associate Professor at the University of Madeira, Interactive Technologies Institute (ITI/LARSyS)
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Cited by
Cited by
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
Neuro-fuzzy systems: a survey
J Vieira, FM Dias, A Mota
5th WSEAS NNA international conference on neural networks and applications …, 2004
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
Artificial neural networks: a review of commercial hardware
FM Dias, A Antunes, AM Mota
Engineering Applications of Artificial Intelligence 17 (8), 945-952, 2004
Particle swarm optimisation: a historical review up to the current developments
D Freitas, LG Lopes, F Morgado-Dias
Entropy 22 (3), 362, 2020
Artificial neural networks
M Dias
On-line 1 (2), 47-54, 2010
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
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
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
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
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
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
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
A survey of artificial neural network training tools
D Baptista, F Morgado-Dias
Neural Computing and Applications 23, 609-615, 2013
Comparison between different control strategies using neural networks
FM Dias, AM Mota
9th Mediterranean Conference on Control and Automation, Dubrovnik, Croatia, 1-12, 2001
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
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
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
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
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
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