Artificial Neural Networks Processor - A Hardware Implementation Using a FPGA. - Pedro Ferreira; Pedro Ribeiro; Ana Antunes; Fernando Morgado Dias (FPL, 2004)

Artificial neural networks: a review of commercial hardware. - Fernando Morgado Dias; Ana Antunes; Alexandre Manuel Mota (Eng. Appl. Artif. Intell., 2004)

Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. - José Vieira 001; Fernando Morgado Dias; Alexandre Mota 002 (Eng. Appl. Artif. Intell., 2004)

Hybrid Neuro-Fuzzy Network-Priori Knowledge Model in Temperature Control of a Gas Water Heater System. - Jose Antonio Vieira; Fernando Morgado Dias; Alexandre Manuel Mota (HIS, 2005)

Using the Levenberg-Marquardt for On-line Training of a Variant System. - Fernando Morgado Dias; Ana Antunes; José M. N. Vieira; Alexandre Manuel Mota (ICANN (2), 2005)

On-line Training of Neural Networks: A Sliding Window Approach for the Levenberg-Marquardt Algorithm. - Fernando Morgado Dias; Ana Antunes; José M. N. Vieira; Alexandre Manuel Mota (IWINAC (2), 2005)

Técnicas de controlo não-linear baseadas em redes neuronais - do algoritmo à implementação - Fernando Morgado Dias (2005)

Delay Compensator: an Approach to Reduce the Variable Sampling to Actuation Delay Effect in Distributed Real-time Control Systems. - Ana Antunes; Fernando Morgado Dias; José M. N. Vieira; Alexandre Manuel Mota (ETFA, 2006)

On-Line Learning of a Time Variant System. - Fernando Morgado Dias; Ana Antunes; José M. N. Vieira; Alexandre Manuel Mota (IEA/AIE, 2006)

A sliding window solution for the on-line implementation of the Levenberg-Marquardt algorithm. - Fernando Morgado Dias; Ana Antunes; José M. N. Vieira; Alexandre Manuel Mota (Eng. Appl. Artif. Intell., 2006)

A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function. - Pedro Ferreira; Pedro Ribeiro; Ana Antunes; Fernando Morgado Dias (Neurocomputing, 2007)

A neural network delay compensator for networked control systems. - Ana Antunes; Fernando Morgado Dias; Alexandre Manuel Mota (ETFA, 2008)

A neuro-fuzzy delay compensator for distributed control systems. - Ana Antunes; Fernando Morgado Dias; Jose Antonio Vieira; Alexandre Manuel Mota (ETFA, 2008)

A Neural Model for Delay Correction in a Distributed Control System. - Ana Antunes; Fernando Morgado Dias; Alexandre Manuel Mota (ICANN (2), 2008)

Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks. - Fernando Morgado Dias; Ana Antunes (ISICA, 2008)

A Matlab tool for analyzing and improving fault tolerance of artificial neural networks. - Rui Borralho; Pedro Fontes; Ana Antunes; Fernando Morgado Dias (ICONS, 2009)

FTSET-a software tool for fault tolerance evaluation and improvement. - Fernando Morgado Dias; Rui Borralho; Pedro Fontes; Ana Antunes (Neural Comput. Appl., 2010)

ANGE - Automatic Neural Generator. - Leonardo Reis; Luis Aguiar; Darío Baptista; Fernando Morgado Dias (ICANN (2), 2011)

A survey of software and hardware use in artificial neural networks. - Darío Baptista; Sandy Abreu; Filipe Freitas; Rita Vasconcelos; Fernando Morgado Dias (Neural Comput. Appl., 2013)

Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2013)

A survey of artificial neural network training tools. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2013)

Special issue on Controlo2012: new applications of artificial neural networks in modeling and control. - Fernando Morgado Dias; Ana Antunes; José M. N. Vieira (Neural Comput. Appl., 2013)

A new solution to the hyperbolic tangent implementation in hardware: polynomial modeling of the fractional exponential part. - Ivo Nascimento; Ricardo Jardim; Fernando Morgado Dias (Neural Comput. Appl., 2013)

A software tool for automatic generation of neural hardware. - Leonardo Reis; Luis Aguiar; Darío Baptista; Fernando Morgado Dias (Int. Arab J. Inf. Technol., 2014)

Multi-camera synchronization core implemented on USB3 based FPGA platform. - Ricardo M. Sousa; Martin Wäny; Pedro Santos; Fernando Morgado Dias (IMSE, 2015)

FPGA Implementation of Gamma Correction using a Piecewise Linear Approach for a Small Size Endoscopic Camera. - Sheikh Shanawaz Mostafa; Natércia Sousa; Nuno Fábio Ferreira; Ricardo M. Sousa; João Santos; Fernando Morgado Dias; Martin Wäny (IMSE, 2016)

Optimization of sleep apnea detection using SpO2 and ANN. - Sheikh Shanawaz Mostafa; João Paulo Carvalho 001; Fernando Morgado Dias; Antonio G. Ravelo-García (ICAT, 2017)

A minimallyinvasive portable system for sleep apnea detection. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Juan L. Navarro-Mesa; Gabriel Juliá-Serdá; Antonio G. Ravelo-García (IWOBI, 2017)

A Minimally Invasive Portable System for Sleep Apnea Detection. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Juan L. Navarro-Mesa; Gabriel Juliá-Serdá; Antonio G. Ravelo-García (IWOBI, 2017)

A Method for Designing Emg Integrator using an FPGA. - Sheikh Shanawaz Mostafa; Md. Abdul Awal; Mohiuddin Ahmad; Fernando Morgado Dias (IWOBI, 2017)

Full image-processing pipeline in field-programmable gate array for a small endoscopic camera. - Sheikh Shanawaz Mostafa; Natércia Sousa; Nuno Fábio Ferreira; Ricardo M. Sousa; João Santos; Martin Wäny; Fernando Morgado Dias (J. Electronic Imaging, 2017)

Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system. - Darío Baptista; Sandy Abreu; Carlos M. Travieso-González; Fernando Morgado Dias (Microprocess. Microsystems, 2017)

Automatic general-purpose neural hardware generator. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2017)

Distance Measurement System for Medical Applications Based on the NanEye Stereo Camera. - Bernardino Ascensao; Pedro Santos; Fernando Morgado Dias (ICBEA, 2018)

Configurable N-fold Hardware Architecture for Convolutional Neural Networks. - Darío Baptista; Fernando Morgado Dias; Leonel Sousa (ICBEA, 2018)

Design and Simulation of a CMOS Slew-Rate Enhanced OTA to Drive Heavy Capacitive Loads. - Luis Miguel Carvalho Freitas; Fernando Morgado Dias; Guy Meynants; Adi Xhakoni (ICBEA, 2018)

On-Chip Digital Temperature Sensor for CMOS Image Sensor. - Ruben Gomes; Paulo Franco; Fernando Morgado Dias (ICBEA, 2018)

Image Denoise FPGA Implementation Using a Moving Average Filter with Contour Detection. - Ricardo Jardim; Fernando Morgado Dias (ICBEA, 2018)

Applications of Artificial Neural Networks in Process Control Applications: A Review. - Alexander Kramer; Fernando Morgado Dias (ICBEA, 2018)

Sleep Quality Analysis with Cardiopulmonary Coupling. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (ICBEA, 2018)

Automatic Detection of a Phases for CAP Classification. - Fábio Mendonça; Ana L. N. Fred; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (ICPRAM, 2018)

A portable wireless device based on oximetry for sleep apnea detection. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Juan L. Navarro-Mesa; Gabriel Juliá-Serdá; Antonio G. Ravelo-García (Computing, 2018)

A Review of Approaches for Sleep Quality Analysis. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García; Thomas Penzel (IEEE Access, 2019)

A Portable Wireless Device for Cyclic Alternating Pattern Estimation from an EEG Monopolar Derivation. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Entropy, 2019)

A Systematic Review of Detecting Sleep Apnea Using Deep Learning. - Sheikh Shanawaz Mostafa; Fábio Mendonça; Antonio G. Ravelo-García; Fernando Morgado Dias (Sensors, 2019)

A Review of Obstructive Sleep Apnea Detection Approaches. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Antonio G. Ravelo-García; Fernando Morgado Dias; Thomas Penzel (IEEE J. Biomed. Health Informatics, 2019)

Raising the Abstraction Level of a Deep Learning Design on FPGAs. - Darío Baptista; Leonel Sousa; Fernando Morgado Dias (IEEE Access, 2020)

A Method for Sleep Quality Analysis Based on CNN Ensemble With Implementation in a Portable Wireless Device. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Gabriel Juliá-Serdá; Antonio G. Ravelo-García (IEEE Access, 2020)

Multi-Objective Hyperparameter Optimization of Convolutional Neural Network for Obstructive Sleep Apnea Detection. - Sheikh Shanawaz Mostafa; Fábio Mendonça; Antonio G. Ravelo-García; Gabriel Juliá-Serdá; Fernando Morgado Dias (IEEE Access, 2020)

Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Biomed. Signal Process. Control., 2020)

Matrix of Lags: A tool for analysis of multiple dependent time series applied for CAP scoring. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Comput. Methods Programs Biomed., 2020)

Greedy based convolutional neural network optimization for detecting apnea. - Sheikh Shanawaz Mostafa; Darío Baptista; Antonio G. Ravelo-García; Gabriel Juliá-Serdá; Fernando Morgado Dias (Comput. Methods Programs Biomed., 2020)

Particle Swarm Optimisation: A Historical Review Up to the Current Developments. - Diogo Freitas; Luiz Guerreiro Lopes; Fernando Morgado Dias (Entropy, 2020)

Machine Learning Photovoltaic String Analyzer. - Sandy Rodrigues; Gerhard Mütter; Helena Maria Geirinhas Ramos; Fernando Morgado Dias (Entropy, 2020)

A CMOS slew-rate enhanced OTA for imaging. - Luis Miguel Carvalho Freitas; Fernando Morgado Dias (Microprocess. Microsystems, 2020)

Savitzky-Golay filtering as image noise reduction with sharp color reset. - Ricardo Jardim; Fernando Morgado Dias (Microprocess. Microsystems, 2020)

Automatic illumination control for an endoscopy sensor. - Ricardo M. Sousa; Martin Wäny; Pedro Santos; Fernando Morgado Dias (Microprocess. Microsystems, 2020)

Comparing different solutions for forecasting the energy production of a wind farm. - Darío Baptista; João Paulo Carvalho 001; Fernando Morgado Dias (Neural Comput. Appl., 2020)

Design of sEMG-based clench force estimator in FPGA using artificial neural networks. - Sheikh Shanawaz Mostafa; Md. Abdul Awal; Mohiuddin Ahmad; Fernando Morgado Dias (Neural Comput. Appl., 2020)

Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection. - Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Neural Comput. Appl., 2020)

SC3: self-configuring classifier combination for obstructive sleep apnea. - Sheikh Shanawaz Mostafa; Fábio Mendonça; Gabriel Juliá-Serdá; Fernando Morgado Dias; Antonio G. Ravelo-García (Neural Comput. Appl., 2020)

A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira. - Roham Torabi; Sandy Rodrigues; Nuno Cafôfo; Lucas Pereira; Filipe Quintal; Nuno Nunes 001; Fernando Morgado Dias (Neural Comput. Appl., 2020)

An Oximetry Based Wireless Device for Sleep Apnea Detection. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Sensors, 2020)

A method based on cardiopulmonary coupling analysis for sleep quality assessment with FPGA implementation. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Artif. Intell. Medicine, 2021)

Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Diogo Freitas; Fernando Morgado Dias; Antonio G. Ravelo-García (CoRR, 2021)

Column amplification stages in CMOS image sensors based on incremental sigma-delta ADCs. - Luis Miguel Carvalho Freitas; Fernando Morgado Dias (Microelectron. J., 2021)

Availability and performance of face based non-contact methods for heart rate and oxygen saturation estimations: A systematic review. - Ankit Gupta 006; Antonio G. Ravelo-García; Fernando Morgado Dias (Comput. Methods Programs Biomed., 2022)

ProBoost: a Boosting Method for Probabilistic Classifiers. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García; Mário A. T. Figueiredo (CoRR, 2022)

Variational Autoencoder Kernel Interpretation and Selection for Classification. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (CoRR, 2022)

Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Diogo Freitas; Fernando Morgado Dias; Antonio G. Ravelo-García (Entropy, 2022)

Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. - Ahatsham Hayat; Fernando Morgado Dias; Bikram Pratim Bhuyan; Ravi Tomar (Inf., 2022)

Correction: Hayat et al. Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Information 2022, 13, 275. - Ahatsham Hayat; Fernando Morgado Dias; Bikram Pratim Bhuyan; Ravi Tomar (Inf., 2022)

Automatic detection of cyclic alternating pattern. - Fábio Mendonça; Ana Fred; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Neural Comput. Appl., 2022)

A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm. - Ankit Gupta 006; Antonio G. Ravelo-García; Fernando Morgado Dias (IEEE J. Biomed. Health Informatics, 2022)

On the Use of Kullback-Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García (Inf., 2023)

Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review. - Preety Baglat; Ahatsham Hayat; Fábio Mendonça; Ankit Gupta 006; Sheikh Shanawaz Mostafa; Fernando Morgado Dias (Sensors, 2023)

The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review. - Décio Alves; Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias (Comput., 2023)

Wind Limitations at Madeira International Airport: A Deep Learning Prediction Approach. - Décio Alves; Diogo Freitas; Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias (IEEE Access, 2024)

ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models. - Fábio Mendonça; Sheikh Shanawaz Mostafa; Fernando Morgado Dias; Antonio G. Ravelo-García; Mário A. T. Figueiredo (IEEE Access, 2025)