Fernando Morgado Dias

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 52

Top Topics

Fpga Implementation

Cmos Image Sensor

Top Venues

Neural Comput. Appl.

Microprocess. Microsystems

Publications

Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
On the Use of Kullback-Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation. Inf. 14 (10) (2023)
Preety Baglat, Ahatsham Hayat, Fábio Mendonça, Ankit Gupta, Sheikh Shanawaz Mostafa, Fernando Morgado Dias
Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review. Sensors 23 (2) (2023)
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias
The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review. Comput. 12 (10) (2023)
Ahatsham Hayat, Fernando Morgado Dias, Bikram Pratim Bhuyan, Ravi Tomar
Correction: Hayat et al. Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Information 2022, 13, 275. Inf. 13 (9) (2022)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas, Fernando Morgado Dias, Antonio G. Ravelo-García
Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection. Entropy 24 (5) (2022)
Fábio Mendonça, Ana L. N. Fred, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Automatic detection of cyclic alternating pattern. Neural Comput. Appl. 34 (13) (2022)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Variational Autoencoder Kernel Interpretation and Selection for Classification. CoRR (2022)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García, Mário A. T. Figueiredo
ProBoost: a Boosting Method for Probabilistic Classifiers. CoRR (2022)
Ahatsham Hayat, Fernando Morgado Dias, Bikram Pratim Bhuyan, Ravi Tomar
Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Inf. 13 (6) (2022)
Ankit Gupta, Antonio G. Ravelo-García, Fernando Morgado Dias
Availability and performance of face based non-contact methods for heart rate and oxygen saturation estimations: A systematic review. Comput. Methods Programs Biomed. 219 (2022)
Ankit Gupta, Antonio G. Ravelo-García, Fernando Morgado Dias
A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas, Fernando Morgado Dias, Antonio G. Ravelo-García
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG. CoRR (2021)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
A method based on cardiopulmonary coupling analysis for sleep quality assessment with FPGA implementation. Artif. Intell. Medicine 112 (2021)
Luis Miguel Carvalho Freitas, Fernando Morgado Dias
Column amplification stages in CMOS image sensors based on incremental sigma-delta ADCs. Microelectron. J. 113 (2021)
Sheikh Shanawaz Mostafa, Darío Baptista, Antonio G. Ravelo-García, Gabriel Juliá-Serdá, Fernando Morgado Dias
Greedy based convolutional neural network optimization for detecting apnea. Comput. Methods Programs Biomed. 197 (2020)
Sheikh Shanawaz Mostafa, Fábio Mendonça, Gabriel Juliá-Serdá, Fernando Morgado Dias, Antonio G. Ravelo-García
SC3: self-configuring classifier combination for obstructive sleep apnea. Neural Comput. Appl. 32 (24) (2020)
Roham Torabi, Sandy Rodrigues, Nuno Cafôfo, Lucas Pereira, Filipe Quintal, Nuno Nunes, Fernando Morgado Dias
A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira. Neural Comput. Appl. 32 (20) (2020)
Sheikh Shanawaz Mostafa, Fábio Mendonça, Antonio G. Ravelo-García, Gabriel Juliá-Serdá, Fernando Morgado Dias
Multi-Objective Hyperparameter Optimization of Convolutional Neural Network for Obstructive Sleep Apnea Detection. IEEE Access 8 (2020)
Sheikh Shanawaz Mostafa, Md. Abdul Awal, Mohiuddin Ahmad, Fernando Morgado Dias
Design of sEMG-based clench force estimator in FPGA using artificial neural networks. Neural Comput. Appl. 32 (20) (2020)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
An Oximetry Based Wireless Device for Sleep Apnea Detection. Sensors 20 (3) (2020)
Ricardo M. Sousa, Martin Wäny, Pedro Santos, Fernando Morgado Dias
Automatic illumination control for an endoscopy sensor. Microprocess. Microsystems 72 (2020)
Darío Baptista, Leonel Sousa, Fernando Morgado Dias
Raising the Abstraction Level of a Deep Learning Design on FPGAs. IEEE Access 8 (2020)
Ricardo Jardim, Fernando Morgado Dias
Savitzky-Golay filtering as image noise reduction with sharp color reset. Microprocess. Microsystems 74 (2020)
Sandy Rodrigues, Gerhard Mütter, Helena Maria Geirinhas Ramos, Fernando Morgado Dias
Machine Learning Photovoltaic String Analyzer. Entropy 22 (2) (2020)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Gabriel Juliá-Serdá, Antonio G. Ravelo-García
A Method for Sleep Quality Analysis Based on CNN Ensemble With Implementation in a Portable Wireless Device. IEEE Access 8 (2020)
Diogo Freitas, Luiz Guerreiro Lopes, Fernando Morgado Dias
Particle Swarm Optimisation: A Historical Review Up to the Current Developments. Entropy 22 (3) (2020)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Matrix of Lags: A tool for analysis of multiple dependent time series applied for CAP scoring. Comput. Methods Programs Biomed. 189 (2020)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal. Biomed. Signal Process. Control. 62 (2020)
Luis Miguel Carvalho Freitas, Fernando Morgado Dias
A CMOS slew-rate enhanced OTA for imaging. Microprocess. Microsystems 72 (2020)
Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection. Neural Comput. Appl. 32 (20) (2020)
Darío Baptista, João Paulo Carvalho, Fernando Morgado Dias
Comparing different solutions for forecasting the energy production of a wind farm. Neural Comput. Appl. 32 (20) (2020)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García, Thomas Penzel
A Review of Approaches for Sleep Quality Analysis. IEEE Access 7 (2019)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, Fernando Morgado Dias, Thomas Penzel
A Review of Obstructive Sleep Apnea Detection Approaches. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Sheikh Shanawaz Mostafa, Fábio Mendonça, Antonio G. Ravelo-García, Fernando Morgado Dias
A Systematic Review of Detecting Sleep Apnea Using Deep Learning. Sensors 19 (22) (2019)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
A Portable Wireless Device for Cyclic Alternating Pattern Estimation from an EEG Monopolar Derivation. Entropy 21 (12) (2019)
Fábio Mendonça, Ana L. N. Fred, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Automatic Detection of a Phases for CAP Classification. ICPRAM (2018)
Alexander Kramer, Fernando Morgado Dias
Applications of Artificial Neural Networks in Process Control Applications: A Review. ICBEA (2018)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Juan L. Navarro-Mesa, Gabriel Juliá-Serdá, Antonio G. Ravelo-García
A portable wireless device based on oximetry for sleep apnea detection. Computing 100 (11) (2018)
Ruben Gomes, Paulo Franco, Fernando Morgado Dias
On-Chip Digital Temperature Sensor for CMOS Image Sensor. ICBEA (2018)
Luis Miguel Carvalho Freitas, Fernando Morgado Dias, Guy Meynants, Adi Xhakoni
Design and Simulation of a CMOS Slew-Rate Enhanced OTA to Drive Heavy Capacitive Loads. ICBEA (2018)
Ricardo Jardim, Fernando Morgado Dias
Image Denoise FPGA Implementation Using a Moving Average Filter with Contour Detection. ICBEA (2018)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García
Sleep Quality Analysis with Cardiopulmonary Coupling. ICBEA (2018)
Darío Baptista, Fernando Morgado Dias, Leonel Sousa
Configurable N-fold Hardware Architecture for Convolutional Neural Networks. ICBEA (2018)
Bernardino Ascensao, Pedro Santos, Fernando Morgado Dias
Distance Measurement System for Medical Applications Based on the NanEye Stereo Camera. ICBEA (2018)
Sheikh Shanawaz Mostafa, Natércia Sousa, Nuno Fábio Ferreira, Ricardo M. Sousa, Joao Santos, Martin Wäny, Fernando Morgado Dias
Full image-processing pipeline in field-programmable gate array for a small endoscopic camera. J. Electronic Imaging 26 (1) (2017)
Sheikh Shanawaz Mostafa, Md. Abdul Awal, Mohiuddin Ahmad, Fernando Morgado Dias
A Method for Designing Emg Integrator using an FPGA. IWOBI (2017)
Darío Baptista, Fernando Morgado Dias
Automatic general-purpose neural hardware generator. Neural Comput. Appl. 28 (1) (2017)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Juan L. Navarro-Mesa, Gabriel Juliá-Serdá, Antonio G. Ravelo-García
A Minimally Invasive Portable System for Sleep Apnea Detection. IWOBI (2017)
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Juan L. Navarro-Mesa, Gabriel Juliá-Serdá, Antonio G. Ravelo-García
A minimallyinvasive portable system for sleep apnea detection. IWOBI (2017)
Sheikh Shanawaz Mostafa, João Paulo Carvalho, Fernando Morgado Dias, Antonio G. Ravelo-García
Optimization of sleep apnea detection using SpO2 and ANN. ICAT (2017)
Darío Baptista, Sandy Abreu, Carlos M. Travieso-González, Fernando Morgado Dias
Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system. Microprocess. Microsystems 49 (2017)
Sheikh Shanawaz Mostafa, Natércia Sousa, Nuno Fábio Ferreira, Ricardo M. Sousa, João Santos, Fernando Morgado Dias, Martin Wäny
FPGA Implementation of Gamma Correction using a Piecewise Linear Approach for a Small Size Endoscopic Camera. IMSE (2016)
Ricardo M. Sousa, Martin Wäny, Pedro Santos, Fernando Morgado Dias
Multi-camera synchronization core implemented on USB3 based FPGA platform. IMSE (2015)
Leonardo Reis, Luis Aguiar, Darío Baptista, Fernando Morgado Dias
A software tool for automatic generation of neural hardware. Int. Arab J. Inf. Technol. 11 (3) (2014)
Ivo Nascimento, Ricardo Jardim, Fernando Morgado Dias
A new solution to the hyperbolic tangent implementation in hardware: polynomial modeling of the fractional exponential part. Neural Comput. Appl. 23 (2) (2013)
Darío Baptista, Fernando Morgado Dias
Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks. Neural Comput. Appl. 23 (3-4) (2013)
Darío Baptista, Fernando Morgado Dias
A survey of artificial neural network training tools. Neural Comput. Appl. 23 (3-4) (2013)
Darío Baptista, Sandy Abreu, Filipe Freitas, Rita Vasconcelos, Fernando Morgado Dias
A survey of software and hardware use in artificial neural networks. Neural Comput. Appl. 23 (3-4) (2013)
Fernando Morgado Dias, Ana Antunes, José M. N. Vieira
Special issue on Controlo2012: new applications of artificial neural networks in modeling and control. Neural Comput. Appl. 23 (3-4) (2013)
Leonardo Reis, Luis Aguiar, Darío Baptista, Fernando Morgado Dias
ANGE - Automatic Neural Generator. ICANN (2) (2011)
Fernando Morgado Dias, Rui Borralho, Pedro Fontes, Ana Antunes
FTSET-a software tool for fault tolerance evaluation and improvement. Neural Comput. Appl. 19 (5) (2010)
Rui Borralho, Pedro Fontes, Ana Antunes, Fernando Morgado Dias
A Matlab tool for analyzing and improving fault tolerance of artificial neural networks. ICONS (2009)
Ana Antunes, Fernando Morgado Dias, Alexandre Manuel Mota
A Neural Model for Delay Correction in a Distributed Control System. ICANN (2) (2008)
Fernando Morgado Dias, Ana Antunes
Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks. ISICA (2008)
Ana Antunes, Fernando Morgado Dias, Jose Antonio Vieira, Alexandre Manuel Mota
A neuro-fuzzy delay compensator for distributed control systems. ETFA (2008)
Ana Antunes, Fernando Morgado Dias, Alexandre Manuel Mota
A neural network delay compensator for networked control systems. ETFA (2008)
Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function. Neurocomputing 71 (1-3) (2007)
Fernando Morgado Dias, Ana Antunes, José M. N. Vieira, Alexandre Manuel Mota
A sliding window solution for the on-line implementation of the Levenberg-Marquardt algorithm. Eng. Appl. Artif. Intell. 19 (1) (2006)
Fernando Morgado Dias, Ana Antunes, José M. N. Vieira, Alexandre Manuel Mota
On-Line Learning of a Time Variant System. IEA/AIE (2006)
Ana Antunes, Fernando Morgado Dias, José M. N. Vieira, Alexandre Manuel Mota
Delay Compensator: an Approach to Reduce the Variable Sampling to Actuation Delay Effect in Distributed Real-time Control Systems. ETFA (2006)
Jose Antonio Vieira, Fernando Morgado Dias, Alexandre Manuel Mota
Hybrid Neuro-Fuzzy Network-Priori Knowledge Model in Temperature Control of a Gas Water Heater System. HIS (2005)
Fernando Morgado Dias, Ana Antunes, José M. N. Vieira, Alexandre Manuel Mota
On-line Training of Neural Networks: A Sliding Window Approach for the Levenberg-Marquardt Algorithm. IWINAC (2) (2005)
Fernando Morgado Dias, Ana Antunes, José M. N. Vieira, Alexandre Manuel Mota
Using the Levenberg-Marquardt for On-line Training of a Variant System. ICANN (2) (2005)
José Vieira, Fernando Morgado Dias, Alexandre Mota
Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. Eng. Appl. Artif. Intell. 17 (3) (2004)
Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias
Artificial Neural Networks Processor - A Hardware Implementation Using a FPGA. FPL (2004)
Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota
Artificial neural networks: a review of commercial hardware. Eng. Appl. Artif. Intell. 17 (8) (2004)