Fernando Morgado Dias

发表

Design of sEMG-based clench force estimator in FPGA using artificial neural networks

Fernando Morgado Dias, Mohiuddin Ahmad, Md. Abdul Awal, 2020, Neural Computing and Applications.

Particle Swarm Optimisation: A Historical Review Up to the Current Developments

Fernando Morgado Dias, Diogo Freitas, Luiz Guerreiro Lopes, 2020, Entropy.

Matrix of Lags: A tool for analysis of multiple dependent time series applied for CAP scoring

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2020, Comput. Methods Programs Biomed..

A survey of software and hardware use in artificial neural networks

Darío Baptista, Fernando Morgado Dias, Sandy Abreu, 2013, Neural Computing and Applications.

On-line Training of Neural Networks: A Sliding Window Approach for the Levenberg-Marquardt Algorithm

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2005, IWINAC.

Using the Levenberg-Marquardt for On-line Training of a Variant System

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2005, ICANN.

Artificial Neural Networks Processor - A Hardware Implementation Using a FPGA

Fernando Morgado Dias, Pedro Ferreira, Pedro Ribeiro, 2004, FPL.

Design and Simulation of a CMOS Slew-Rate Enhanced OTA to Drive Heavy Capacitive Loads

Fernando Morgado Dias, Adi Xhakoni, Guy Meynants, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

Sleep Quality Analysis with Cardiopulmonary Coupling

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

2012 JETTA Reviewers

Luigi Carro, Fernando Morgado Dias, Irith Pomeranz, 2013, J. Electron. Test..

A Matlab tool for analyzing and improving fault tolerance of artificial neural networks

Fernando Morgado Dias, Ana Antunes, Pedro Fontes, 2009, ICONS.

Additive internal model control: an application with neural models in a kiln

Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

On-Line Learning of a Time Variant System

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2006, IEA/AIE.

A Method for Designing Emg Integrator using an FPGA

Fernando Morgado Dias, Md. Abdul Awal, Mohiuddin Ahmad, 2017, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI).

A new solution to the hyperbolic tangent implementation in hardware: polynomial modeling of the fractional exponential part

Fernando Morgado Dias, Ivo Nascimento, Ricardo Jardim, 2013, Neural Computing and Applications.

Automatic Detection of a Phases for CAP Classification

Ana L. N. Fred, Fernando Morgado Dias, Sheikh Shanawaz Mostafa, 2018, ICPRAM.

Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks

Fernando Morgado Dias, Ana Antunes, F. M. Dias, 2008, ISICA.

A Portable Wireless Device for Cyclic Alternating Pattern Estimation from an EEG Monopolar Derivation

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2019, Entropy.

Distance Measurement System for Medical Applications Based on the NanEye Stereo Camera

Fernando Morgado Dias, Pedro Santos, Bernardino Ascensao, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

A Neural Model for Delay Correction in a Distributed Control System

Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota, 2008, ICANN.

Savitzky-Golay filtering as image noise reduction with sharp color reset

Fernando Morgado Dias, Ricardo Jardim, F. M. Dias, 2020, Microprocess. Microsystems.

Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks

Darío Baptista, Fernando Morgado Dias, 2013, Neural Computing and Applications.

A Minimally Invasive Portable System for Sleep Apnea Detection

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2017, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI).

Automating the construction of neural models for control purposes using genetic algorithms

Fernando Morgado Dias, Alexandre Mota, Ana Antunes, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Hybrid neuro-fuzzy network-priori knowledge model in temperature control of a gas water heater system

Fernando Morgado Dias, Alexandre Manuel Mota, Jose Antonio Vieira, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function

Fernando Morgado Dias, Pedro Ferreira, Pedro Ribeiro, 2007, Neurocomputing.

FTSET-a software tool for fault tolerance evaluation and improvement

Fernando Morgado Dias, Ana Antunes, Pedro Fontes, 2009, Neural Computing and Applications.

Image Denoise FPGA Implementation Using a Moving Average Filter with Contour Detection

Fernando Morgado Dias, Ricardo Jardim, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

A survey of artificial neural network training tools

Darío Baptista, Fernando Morgado Dias, F. M. Dias, 2013, Neural Computing and Applications.

A Systematic Review of Detecting Sleep Apnea Using Deep Learning

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2019, Sensors.

Geração de Vectores de Teste por Emparelhamento

Fernando Morgado Dias, Meryem Marzouki, Mohamed Hedi Touati, 1996 .

Full image-processing pipeline in field-programmable gate array for a small endoscopic camera

Fernando Morgado Dias, Joao Santos, Sheikh Shanawaz Mostafa, 2017, J. Electronic Imaging.

ANGE - Automatic Neural Generator

Leonardo Reis, Luis Aguiar, Darío Baptista, 2011, ICANN.

Improving the control performance of a real-time distributed control system under variable sampling to actuation delay

Fernando Morgado Dias, Alexandre Mota, Ana Antunes, 2006 .

Commercial hardware for artificial neural networks: a survey

Fernando Morgado Dias, Alexandre Mota, Ana Antunes, 2003 .

Machine Learning Photovoltaic String Analyzer

Fernando Morgado Dias, Sandy Rodrigues, Helena Maria Geirinhas Ramos, 2020, Entropy.

Artificial neural networks: a review of commercial hardware

Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota, 2004, Eng. Appl. Artif. Intell..

A CMOS slew-rate enhanced OTA for imaging

Fernando Morgado Dias, Luis Miguel Carvalho Freitas, 2020, Microprocess. Microsystems.

Delay Compensator: an Approach to Reduce the Variable Sampling to Actuation Delay Effect in Distributed Real-time Control Systems

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira

Fernando Morgado Dias, Filipe Quintal, Lucas Pereira, 2018, Neural Computing and Applications.

A neuro-fuzzy delay compensator for distributed control systems

Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota, 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study

Fernando Morgado Dias, Alexandre Mota, F. M. Dias, 2004, Eng. Appl. Artif. Intell..

Special issue on Controlo2012: new applications of artificial neural networks in modeling and control

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2013, Neural Computing and Applications.

Applications of Artificial Neural Networks in Process Control Applications: A Review

Fernando Morgado Dias, Alexander Kramer, F. M. Dias, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2020, Neural Computing and Applications.

Automatic general-purpose neural hardware generator

Darío Baptista, Fernando Morgado Dias, F. M. Dias, 2015, Neural Computing and Applications.

Modelling and control of Madeira Wine aging process using directive inverse control

Fernando Morgado Dias, Darío Baptista, Carlos Faris, 2016 .

Implementing the Levenberg-Marquardt Algorithm on-line: A Sliding Window Approach with Early Stopping

Fernando Morgado Dias, Alexandre Mota, José M. N. Vieira, 2004 .

Greedy based convolutional neural network optimization for detecting apnea

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2020, Comput. Methods Programs Biomed..

Comparing different solutions for forecasting the energy production of a wind farm

Darío Baptista, Fernando Morgado Dias, João Paulo Carvalho, 2018, Neural Computing and Applications.

Automatic illumination control for an endoscopy sensor

Fernando Morgado Dias, Pedro Santos, Ricardo M. Sousa, 2020, Microprocess. Microsystems.

A minimallyinvasive portable system for sleep apnea detection

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2017, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI).

Implementation of the Delay Compensator Approach

Fernando Morgado Dias, Alexandre Mota, Ana Antunes, 2010 .

On-Chip Digital Temperature Sensor for CMOS Image Sensor

Fernando Morgado Dias, Paulo Franco, Ruben Gomes, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

An Oximetry Based Wireless Device for Sleep Apnea Detection

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2020, Sensors.

Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2020, Biomed. Signal Process. Control..

Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system

Fernando Morgado Dias, Carlos M. Travieso-González, Sandy Abreu, 2017, Microprocess. Microsystems.

A software Tool for Teaching Fault Tolerance in Artificial Neural Networks

Fernando Morgado Dias, Ana Antunes, Pedro Fontes, 2007 .

Configurable N-fold Hardware Architecture for Convolutional Neural Networks

Fernando Morgado Dias, Leonel Sousa, Daria Baptista, 2018, 2018 International Conference on Biomedical Engineering and Applications (ICBEA).

Test error versus training error in artificial neural networks for systems affected by noise

Fernando Morgado Dias, Ana Antunes, 2008 .

A global model for fault tolerance of feedforward neural networks

Fernando Morgado Dias, Ana Antunes, 2008, ICIA 2008.

Optimization of sleep apnea detection using SpO2 and ANN

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2017, 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT).

A sliding window solution for the on-line implementation of the Levenberg-Marquardt algorithm

Fernando Morgado Dias, José M. N. Vieira, Ana Antunes, 2006, Eng. Appl. Artif. Intell..

A neural network delay compensator for networked control systems

Fernando Morgado Dias, Ana Antunes, Alexandre Manuel Mota, 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

A portable wireless device based on oximetry for sleep apnea detection

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, 2018, Computing.

A method based on cardiopulmonary coupling analysis for sleep quality assessment with FPGA implementation

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2021, Artif. Intell. Medicine.

Multiple Time Series Fusion Based on LSTM: An Application to CAP A Phase Classification Using EEG pdf

Fernando Morgado Dias, Sheikh Shanawaz Mostafa, Fábio Mendonça, 2021, International journal of environmental research and public health.

Column amplification stages in CMOS image sensors based on incremental sigma-delta ADCs

Fernando Morgado Dias, Luis Miguel Carvalho Freitas, F. M. Dias, 2021, Microelectron. J..