Algoritmi | User | Petia Georgieva Georgieva

Petia Georgieva Georgieva

Petia Georgieva Georgieva

At LASI

Member of the IEETA R&D Unit

Academic Degree

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Orcid

0000-0002-6424-6590

Researcher ID

FCT Public Key

Ciência ID

6D1E-22DA-1F69

Google Scholar

About Me



Automated Detection of Hillforts in Remote Sensing Imagery With Deep Multimodal Segmentation

Archaeological Prospection

2025 | journal-article

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Computer Methods in Applied Mechanics and Engineering

2025 | journal-article

On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling

Computer Methods in Applied Mechanics and Engineering

2025 | journal-article

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Zenodo

2025 | other

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Zenodo

2025 | other

Deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features

2025 | book-chapter

Beaconless Self-Alignment Method for Indoor Optical Wireless Communications

International Conference on Application of Optics and Photonics (AOP)

2024 | conference-paper

The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation

Remote Sensing

2024 | journal-article

SEEBug - development of a SENSor for the fast and effective detection of pathogenic bacteria in Bivalves

7th International Conference on Bio-sensing Technology

2024 | conference-poster

An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method

Computer Methods in Applied Mechanics and Engineering

2024 | journal-article

Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning

Scientific Reports

2024 | journal-article

A comprehensive dataset of photonic features on spectral converters for energy harvesting

Scientific data

2024 | journal-article

A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO

IEEE Wireless Communications Letters

2024 | journal-article

3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity

IEEE Access

2024 | journal-article

A Novel CNN-based Architecture for Over-the-Air 5G OFDM Channel Estimation

IEEE MTT-S International Microwave Symposium Digest

2024 | conference-paper

Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Efficient News Synopsis Generation with T5 Transformers

International IEEE Conference proceedings, IS

2024 | conference-paper

End-to-End Learning System for Symbol Decoding in Optical Communication

International IEEE Conference proceedings, IS

2024 | conference-paper

Forecasting and Improving Latency in 5G V2X Networks for Autonomous Driving Scenarios

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Iterative Stacking Regression for Materials Properties Prediction

Proceedings of the International Joint Conference on Neural Networks

2024 | conference-paper

On the Performance Analysis of DL-based Data Detection Algorithms in M-QAM Satellite Links

SPI 2024 - 28th IEEE Workshop on Signal and Power Integrity, Proceedings

2024 | conference-paper

Optical Beam Steering in FSO Systems Supported by Computer Vision

IEEE Access

2024 | journal-article

Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning

Scientific Reports

2024 | journal-article

Predictive Analytics for Customer Behavior - Top Up Propensity and Account Balance Predictions in Prepaid Mobile Services

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Heating setpoint recommendation strategy for thermal comfort and energy consumption optimization

Energy and Buildings

2023 | journal-article

A data-centric AI solution for detecting burial mounds in lidar data

Research Summit 2023

2023 | conference-abstract

An Analysis of Data-Centric Artificial Intelligence in Computer Vision Applications

RECPAD 2023

2023 | conference-paper

Automated detection of archaeological sites using lidar - addressing false positives

CAA 2023

2023 | conference-abstract

CNN Architecture Design Impact in DL-Based Channel Estimation Algorithms

2023 | conference-paper

Editorial for special section ' IbPRIA22'

Pattern Recognition Letters

2023 | journal-article

Explainable Artificial Intelligence in Healthcare Applications: A Systematic Review

2023 | conference-paper

Integration of deep learning models into the odyssey gis for archaeological site detection using a microservices architecture

EAA 2023

2023 | conference-abstract

On the constraints and consistency in implicit constitutive modelling using ANNs and indirect training

2023 | conference-paper

Quantization Effects in a CNN-based Channel Estimator

IEEE RADIO AND WIRELESS SYMPOSIUM, VOLS 1 AND 2

2023 | journal-article

Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence

IEEE Access

2023 | journal-article

Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v)

Zenodo

2022 | data-set

The Virtual Fields Method to Indirectly Train Artificial Neural Networks for Implicit Constitutive Modelling

Key Engineering Materials

2022 | journal-article

5G cascaded channel estimation using convolutional neural networks

Digital Signal Processing

2022 | journal-article

The use of machine-learning techniques in material constitutive modelling for metal forming processes

MDPI Metals

2022 | journal-article

A Flexible CNN Architecture for Real-Time FPGA Implementation

2022 | conference-paper

An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5

2022 | book-chapter

Automatic Log Analysis to Prevent Cyber Attacks

2022 | book-chapter

CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems

2022 | conference-paper

Data Augmentation in 3D Object Detection for self-driving vehicles: The role of original and augmented training samples

2022 | conference-paper

Data-centric artificial intelligence in the context of computer vision

Research Summit 2022

2022 | conference-abstract

Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging

2022 | book-chapter

Detecting Archaeological Sites From Airborne LiDAR Data With YOLOv5

RECPAD 2022

2022 | conference-paper

Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models

2022 | book-chapter

Pattern Recognition and Image Analysis

2022 | book

Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings

2022 | edited-book

Preface

2022 | book

Special issue: Innovations in Intelligent Systems and Applications

Journal of Information and Telecommunication

2022 | journal-article

A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection

Technologies

2021 | journal-article

Robot Anticipation Learning System for Ball Catching

robotics

2021 | journal-article

Adaptive optical beam alignment and link protection switching for 5G-over-FSO

Optics Express

2021 | journal-article

Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities

Review of Scientific Instruments

2021 | journal-article

General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry

An Automated Machine Learning Approach

2021 | book-chapter

Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks

2021 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)

2021 | conference-paper

Out of training distribution detection for multi-class skin lesion diagnosis

2021 | conference-paper

Processing and Extraction of Arterial Pulse Waves - comparison between manual and clustering based selections

2021 | journal-article

Transfer learning for skin lesion classification using convolutional neural networks

2021 | conference-paper

Deep learning models for brain machine interfaces

Annals of Mathematics and Artificial Intelligence

2020 | journal-article

An Intelligent Tool for Detection of Phishing Messages

Advances in Intelligent Systems and Computing

2020 | conference-paper

Automated Diagnosis of Skin Lesions

2020 | conference-paper

COVID-19 detection through X-Ray chest images

2020 International Conference Automatics and Informatics, ICAI 2020 - Proceedings

2020 | conference-paper

Deep learning for multi-class skin lesion diagnosis

2020 | journal-article

Features extraction from human eye movements via echo state network

Neural Computing and Applications

2020 | journal-article

Log Files Analysis for Network Intrusion Detection

2020 | conference-paper

Optical Character Recognition for Autonomous Stores

2020 | conference-paper

STDP Training of Hierarchical Spike Timing Model of Visual Information Processing

2020 | conference-paper

Tilt and Rotation Motion Control System for Solar Panel

2020 | conference-paper

Trajectory design of an Aircraft for Circular Motion

IEEE International Conference on Control and Automation

2020 | conference-paper

A self-surveillance system for change detection of pigmented skin lesions

2019 | dissertation-thesis

A study of transfer learning for skin lesion classification

2019 | dissertation-thesis

Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks

2019 | book-chapter

Data Analytics for Home Air Quality Monitoring

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

2019 | journal-article

Decision support service for Bewegen bike-sharing systems

2019 | dissertation-thesis

Deep learning in brain computer interfaces

ACM International Conference Proceeding Series

2019 | conference-paper

ECG-Based Human Emotion Recognition Across Multiple Subjects

2019 | book-chapter

Incremental Learning for Football Match Outcomes Prediction

2019 | book-chapter

Reinforcement Learning and Neuroevolution in Flappy Bird Game

2019 | book-chapter

Stream generation: Markov chains vs GANs

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2019 | conference-paper

Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions

Complexity

2018 | journal-article

ECG-based emotion recognition: Overview of methods and applications

2018 | conference-paper

Exploring the usefulness of morphological profiling of cells to study toxicity mechanisms

Toxicology Letters

2018 | journal-article

Human umbilical cord blood plasma as an alternative to animal sera for mesenchymal stromal cells in vitro expansion - A multicomponent metabolomic analysis

PLoS ONE

2018 | journal-article

Laboratory model for research on computer cluster systems

2018 | conference-paper

Overview of Deep Learning Architectures for EEG-based Brain Imaging

Proceedings of the International Joint Conference on Neural Networks

2018 | conference-paper

The role of early anticipations for human-robot ball catching

18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018

2018 | conference-paper

Development of intelligent tool for phising email detection

2017 | dissertation-thesis

Face recognition based on subject dependent Hidden Markov Models

2016 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016

2017 | conference-paper

Generalization and anticipation skills for robot ball catching using supervised learning

2017 | dissertation-thesis

Learning enhances sensory processing in mouse V1 before improving behavior

Journal of Neuroscience

2017 | journal-article

Reservoir computing for emotion valence discrimination from EEG signals

Neurocomputing

2017 | journal-article

Time accounting artificial neural networks for biochemical process models

Studies in Computational Intelligence

2017 | book-chapter

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources

IEEE Journal of Biomedical and Health Informatics

2016 | journal-article

Advances in Intelligent Signal Processing and Data Mining: Theory and Applications

Mendeley

2016 | other

Face detection and recognision

2016 | dissertation-thesis

Honeybees Learn Landscape Features during Exploratory Orientation Flights

Current Biology

2016 | journal-article

Learning to decode human emotions with Echo State Networks

Neural Networks

2016 | journal-article

Regression approach for automatic detection of attention lapses

2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings

2016 | conference-paper

BRAIN DATA ANALYSIS AND MANAGEMENT

GISAP:MSP

2015 | journal-article

ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

2015 | other

A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes

2015 | conference-paper

A Simple DDS Algorithm For TDS: An Example

2015 | conference-paper

A Simulation Based Approach For The Evaluation Of Outcome Driven Innovation Models

2015 | conference-paper

An Evaluation of Parchments’ Degradation - A Hybrid Approach

Parchment stands for a multifaceted material made from animal skin, which has been used for centuries as a writing support or as bookbinding. Due to the historic value of objects made of parchment, understanding their degradation and their condition is of utmost importance to archives, libraries and museums, i.e., the assessment of parchment degradation is mandatory, although it is hard to do with

2015 | journal-article

An Object-Oriented Approach For Virtual Prototyping In Conceptual Ship Design

2015 | conference-paper

Brain neural data analysis with feature space defined by descriptive statistics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | conference-paper

Causality Versus Predictability In Neural Network Modeling

2015 | conference-paper

Collaborative Virtual Environment For Engineering Laboratory

2015 | conference-paper

Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses

INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings

2015 | conference-paper

Data-Aware Scheduling In Massive Heterogeneous Systems

2015 | conference-paper

Design And Simulation Of Process Improvement Scenarios

2015 | conference-paper

EEG dynamic source localization using Marginalized Particle Filtering

Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

2015 | conference-paper

EEG-based subject independent affective computing models

Procedia Computer Science

2015 | conference-paper

Echo state networks for feature selection in affective computing

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2015 | conference-paper

Exploratory behaviour of honeybees during orientation flights

Animal Behaviour

2015 | journal-article

Heavy Context Dependence — Decisions Of Underground Soldiers

2015 | conference-paper

Learning to decode human emotions from event-related potentials

Neural Computing and Applications

2015 | journal-article

Memristor Modeling In MATLAB & PSPICE

2015 | conference-paper

Mobile Robot Navigation Algorithms Based On Stereovision

2015 | conference-paper

Multi-Formalism Modeling Of Human Organizations

2015 | conference-paper

Novel approach for simultaneous sediment classification and concentration determination of water turbidity

Proceedings of SPIE - The International Society for Optical Engineering

2015 | conference-paper

Perturbation In Local Search For Scheduling

2015 | conference-paper

Preface

Proceedings - 29th European Conference on Modelling and Simulation, ECMS 2015

2015 | conference-paper

Resiliency On Order-Driven Markets

2015 | conference-paper

Scalable And User-Friendly Simulation

2015 | conference-paper

Stochastic Multi-Agent Patrolling Using Social Potential Fields

2015 | conference-paper

The Gas Tiny Flow Measurement Instrumentation

2015 | conference-paper

Towards an adaptive brain-computer interface – An error potential approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | conference-paper

Face Recognition Using Singular Value Decomposition and Hidden Markov Models

The 16th International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS'14), p.144-149

2014 | conference-paper

Are spatial frequency cues used for whisker-based active discrimination?

Frontiers in Behavioral Neuroscience

2014 | journal-article

Bayesian tracking and multi-core beamforming for estimation of correlated brain sources

IET Conference Publications

2014 | conference-paper

Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods

2014 | conference-paper

Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures

Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

2014 | conference-paper

EEG signal processing for brain-computer interfaces

Springer Handbook of Bio-/Neuroinformatics

2014 | book-chapter

Error tolerant MPC versus PI control - A crystallization case study

2009 European Control Conference, ECC 2009

2014 | conference-paper

Error tolerant predictive control based on recurrent neural models

2014 | book

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data

Proceedings of the International Joint Conference on Neural Networks

2014 | conference-paper

Unsupervised EEG biosignal discrimination

International Journal of Reasoning-based Intelligent Systems

2014 | journal-article

Comparative analysis of brain data clustering

Conference in Mathematics, Informatics and Education (MIE)

2013 | conference-paper

A sequential Monte Carlo approach for brain source localization

2013 | book

Advances in Intelligent Signal Processing and Data Mining

Studies in Computational Intelligence

2013 | book

Bayesian approach for reconstruction of moving brain dipoles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | conference-paper

Cluster analysis for EEG biosignal discrimination

2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013

2013 | conference-paper

Echo State Networks in Dynamic Data Clustering

Lecture Notes in Computer Science

2013 | journal-article

IEETA brain computer interface technologies

International Journal of Computational Intelligence Studies

2013 | journal-article

Identification of vegetable oil adulterants in sunflower oil through discriminant analysis of colorimetric parameters

Bulgarian Journal of Agricultural Science

2013 | journal-article

In the depth of winter, I finally learned that within me there lay an invincible summer

2013 | book

Introduction to intelligent signal processing and data mining

2013 | book

Recurrent neural networks for automatic clustering of multispectral satellite images

Image and Signal Processing for Remote Sensing Xix

2013 | journal-article

Robust principal component analysis for brain imaging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | conference-paper

Robust principal component analysis for improving cognitive brain states discrimination from fMRI

2013 | conference-paper

Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG

Electrónica e Telecomunicações, vol 5(4), 391-399

2012 | journal-article

Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG

Este artigo apresenta um estudo referente a várias técnicas de Aprendizagem Automática (MachineLearning) e a sua aplicação para discriminar dois tipos de emoções humanas - valência emocional positiva e negativa, baseado em dados de eletroencefalografia (EEG).Numa primeira fase foi efetuada uma abordagemintrodutória das técnicas m

2012 | journal-article

Brain machine interface IEETA case study

IS'2012 - 2012 6th IEEE International Conference Intelligent Systems, Proceedings

2012 | conference-paper

Particle filters and beamforming for EEG source estimation

Proceedings of the International Joint Conference on Neural Networks

2012 | conference-paper

Model Predictive Control Strategies for Batch Sugar Crystallization Process

Advanced Model Predictive Control

2011 | other

Computer system for navigating a mobile robot

2011 | conference-paper

Instrumentation and Process Control - Process Control

Encyclopedia of Dairy Sciences - second edition, vol. 4, 242-251

2011 | encyclopedia-entry

Linear invariant systems theory for signal enhancement

Electrónica e Telecomunicações 5 (3), 290-294

2011 | journal-article

Neural networks for model predictive control

Proceedings of the International Joint Conference on Neural Networks

2011 | conference-paper

Nonlinear MPC for fed-batch multiple stages sugar crystallization

Chemical Engineering Research and Design

2011 | journal-article

Plant and Equipment: Instrumentation and Process Control: Process Control

2011 | book-chapter

Advances in EEG-based biometry

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | conference-paper

Clustering evoked potential signals using subspace methods

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

2010 | conference-paper

Detecção de actividade cerebral com imagens de ressonância magnética

2010 | dissertation-thesis

Estratégias avançadas de modelização e controlo para processos industriais não lineares e descontínuos : aplicação em cristalizadores industriais de açucar

2010 | dissertation-thesis

Interface cérebro-computador não invasiva baseada em OpenVibe

2010 | dissertation-thesis

Person identification using VEP signals and SVM classifiers

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

SSA of biomedical signals: A linear invariant systems approach

STATISTICS AND ITS INTERFACE

2010 | journal-article

Artificial neural networks for modeling in reaction process systems

Neural Computing and Applications

2009 | journal-article

Computationally efficient process control with neural networkbased predictive models

Proceedings of the International Joint Conference on Neural Networks

2009 | conference-paper

Intelligent predictive control - Application to scheduled crystallization processes

Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems, ICAIS 2009

2009 | conference-paper

Laboratório virtual de sistemas de controlo

2009 | dissertation-thesis

Novel computational methods for modeling and control in chemical and biochemical process systems

2009 | book

Sistema de identificação pessoal baseado em sinais de EEG

2009 | dissertation-thesis

Ajuste de controladores por optimização não linear multiobjectivo

2008 | dissertation-thesis

Controlo de sistemas dinâmicos com redes neuronais artificiais

2008 | dissertation-thesis

Neural network - Based estimation of reaction rates with partly unknown states and completely known kinetics coefficients

2008 4th International IEEE Conference Intelligent Systems, IS 2008

2008 | conference-paper

SISO versus MIMO model based predictive control structures: a fed-batch crystallizer case study

Electrónica e Telecomunicações 4 (9), 1064-1070

2008 | journal-article

SISO versus MIMO model based predictive control structures: a fed-batch crystallizer case study

This work is focused on a comparative study of four structures of linear model predictive control (LMPC) for a fed batch crystallization process. Two single input single output (SISO) and two multiple input multiple output (MIMO) control schemes are analysed with respect to the final process quality achieved. The linear models required in the controller structures are extracted applying two identi

2008 | journal-article

Dynamical model of brushite precipitation

Journal of Crystal Growth

2007 | journal-article

Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients

IEEE International Conference on Neural Networks - Conference Proceedings

2007 | conference-paper

Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis

IEEE International Conference on Neural Networks - Conference Proceedings

2007 | conference-paper

Linear model predictive control strategies applied to a batch sugar crystallizer

7th Portuguese Conference on Automatic Control–CONTROLO’2006

2006 | conference-paper

An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor

Engineering Letters

2006 | journal-article

Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process

Proceedings of World Academy of Science, Engineering and Technology, Vol 12

2006 | conference-paper

Application of artificial neural networks in modeling and optimization of batch crystallization processes

Electrónica e Telecomunicações 4 (6), 697-706

2006 | journal-article

Application of artificial neural networks in modeling and optimization of batch crystallization processes

This paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that t

2006 | journal-article

Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model

IEEE International Conference on Neural Networks - Conference Proceedings

2006 | conference-paper

Neural Network-Based Control Strategies Applied to a Fed-Batch Crystallization Process

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE Vol 3 (3)

2006 | journal-article

A time varying state space approach for sugar crystallization process modelling and monitoring

IFAC Proceedings Volumes (IFAC-PapersOnline)

2005 | conference-paper

Adaptive recurrent neural network control of biological wastewater treatment

International Journal of Intelligent Systems

2005 | journal-article

Modelling of dicalcium phosphate dihydrate precipitation from solution

2005 | conference-paper

On-line monitoring of a sugar crystallization process

Computers and Chemical Engineering

2005 | conference-paper

An adaptive integral plus states neural control of aerobic continuous stirred tank reactor

2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

2004 | conference-paper

On-line multivariate statistical monitoring of a fed-batch sugar crystallisation process

Computer Aided Chemical Engineering

2004 | book

Modeling of Sugar Crystallization through Knowledge Integration

Engineering in Life Sciences vol. 3 (3) p. 146-153

2003 | journal-article

Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena

Chemical Engineering Science

2003 | journal-article

Modeling of sugar crystallization through knowledge integration

2003 | journal-article

Neural network based biomass and growth rate estimation aimed to control of a chemostat microbial cultivation

Applied Artificial Intelligence

2003 | journal-article

Adaptive neural control of activated sludge processes

X Latin-American Congress of Automatic Control, AMCA/IFAC

2002 | conference-paper

A neural network based approach for measurement dynamics compensation

Applied Artificial Intelligence

2002 | journal-article

INSTRUMENTATION AND PROCESS CONTROL - Instrumentation

Encyclopedia of Dairy Sciences

2002 | encyclopedia-entry

INSTRUMENTATION AND PROCESS CONTROL - process control

Encyclopedia of Dairy Sciences

2002 | encyclopedia-entry

Plant and Equipment: Instrumentation and Process Control: Instrumentation

2002 | book

Adaptive λ-tracking control of activated sludge processes

International Journal of Control

2001 | journal-article

Discussion on: "Modeling and adaptive control of aerobic continuous stirred tank reactors" by P. Georgieva, A. Ilchmann and M.-F. Weirig

European Journal of Control

2001 | journal-article

Modelling and adaptive control of aerobic continuous stirred tank reactors

European Journal of Control

2001 | journal-article

Measurement dynamics compensation using neural network inverse modelling

4th Portuguese Conference on Automatic Control CONTROLO’2000, 318-323

2000 | conference-paper

Implementation of robust control theory to a continuous stirred tank bioreactor

Bioprocess Engineering

2000 | journal-article

MIMO adaptive linearizing control of fed-batch amino acids simultaneous production

Bioprocess Engineering

2000 | journal-article

LFT models of continuous biotechnological processes

Bioprocess Engineering

1999 | journal-article

Robust control design of an activated sludge process

International Journal of Robust and Nonlinear Control

1999 | journal-article

Anomalous angle dependence of the output signal of bipolar magnetic sensors

ASDAM 1998 Conference Proceedings: 2nd International Conference on Advanced Semiconductor Devices And Microsystems

1998 | conference-paper

CONTRAST AND ASSIMILATION - INCOMPATIBLE OR COMPLEMENTARY PROCESSES

Zeitschrift fur Psychologie-journal of Psychology

1994 | journal-article

Robust stability in multivariable feedback systems using dominance concept and approximate model

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

1993 | conference-paper

European Council for Modeling and Simulation (ECMS) - Proceedings 2015

| journal-article

Metabolomics - Fundamentals and Applications

| journal-article

Automated Detection of Hillforts in Remote Sensing Imagery With Deep Multimodal Segmentation

Archaeological Prospection

2025 | journal-article

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Computer Methods in Applied Mechanics and Engineering

2025 | journal-article

On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling

Computer Methods in Applied Mechanics and Engineering

2025 | journal-article

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Zenodo

2025 | other

Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training

Zenodo

2025 | other

Deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features

2025 | book-chapter

Beaconless Self-Alignment Method for Indoor Optical Wireless Communications

International Conference on Application of Optics and Photonics (AOP)

2024 | conference-paper

The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation

Remote Sensing

2024 | journal-article

SEEBug - development of a SENSor for the fast and effective detection of pathogenic bacteria in Bivalves

7th International Conference on Bio-sensing Technology

2024 | conference-poster

An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method

Computer Methods in Applied Mechanics and Engineering

2024 | journal-article

Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning

Scientific Reports

2024 | journal-article

A comprehensive dataset of photonic features on spectral converters for energy harvesting

Scientific data

2024 | journal-article

A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO

IEEE Wireless Communications Letters

2024 | journal-article

3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity

IEEE Access

2024 | journal-article

A Novel CNN-based Architecture for Over-the-Air 5G OFDM Channel Estimation

IEEE MTT-S International Microwave Symposium Digest

2024 | conference-paper

Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Efficient News Synopsis Generation with T5 Transformers

International IEEE Conference proceedings, IS

2024 | conference-paper

End-to-End Learning System for Symbol Decoding in Optical Communication

International IEEE Conference proceedings, IS

2024 | conference-paper

Forecasting and Improving Latency in 5G V2X Networks for Autonomous Driving Scenarios

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Iterative Stacking Regression for Materials Properties Prediction

Proceedings of the International Joint Conference on Neural Networks

2024 | conference-paper

On the Performance Analysis of DL-based Data Detection Algorithms in M-QAM Satellite Links

SPI 2024 - 28th IEEE Workshop on Signal and Power Integrity, Proceedings

2024 | conference-paper

Optical Beam Steering in FSO Systems Supported by Computer Vision

IEEE Access

2024 | journal-article

Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning

Scientific Reports

2024 | journal-article

Predictive Analytics for Customer Behavior - Top Up Propensity and Account Balance Predictions in Prepaid Mobile Services

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

2024 | conference-paper

Heating setpoint recommendation strategy for thermal comfort and energy consumption optimization

Energy and Buildings

2023 | journal-article

A data-centric AI solution for detecting burial mounds in lidar data

Research Summit 2023

2023 | conference-abstract

An Analysis of Data-Centric Artificial Intelligence in Computer Vision Applications

RECPAD 2023

2023 | conference-paper

Automated detection of archaeological sites using lidar - addressing false positives

CAA 2023

2023 | conference-abstract

CNN Architecture Design Impact in DL-Based Channel Estimation Algorithms

2023 | conference-paper

Editorial for special section ' IbPRIA22'

Pattern Recognition Letters

2023 | journal-article

Explainable Artificial Intelligence in Healthcare Applications: A Systematic Review

2023 | conference-paper

Integration of deep learning models into the odyssey gis for archaeological site detection using a microservices architecture

EAA 2023

2023 | conference-abstract

On the constraints and consistency in implicit constitutive modelling using ANNs and indirect training

2023 | conference-paper

Quantization Effects in a CNN-based Channel Estimator

IEEE RADIO AND WIRELESS SYMPOSIUM, VOLS 1 AND 2

2023 | journal-article

Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence

IEEE Access

2023 | journal-article

Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v)

Zenodo

2022 | data-set

The Virtual Fields Method to Indirectly Train Artificial Neural Networks for Implicit Constitutive Modelling

Key Engineering Materials

2022 | journal-article

5G cascaded channel estimation using convolutional neural networks

Digital Signal Processing

2022 | journal-article

The use of machine-learning techniques in material constitutive modelling for metal forming processes

MDPI Metals

2022 | journal-article

A Flexible CNN Architecture for Real-Time FPGA Implementation

2022 | conference-paper

An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5

2022 | book-chapter

Automatic Log Analysis to Prevent Cyber Attacks

2022 | book-chapter

CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems

2022 | conference-paper

Data Augmentation in 3D Object Detection for self-driving vehicles: The role of original and augmented training samples

2022 | conference-paper

Data-centric artificial intelligence in the context of computer vision

Research Summit 2022

2022 | conference-abstract

Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging

2022 | book-chapter

Detecting Archaeological Sites From Airborne LiDAR Data With YOLOv5

RECPAD 2022

2022 | conference-paper

Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models

2022 | book-chapter

Pattern Recognition and Image Analysis

2022 | book

Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings

2022 | edited-book

Preface

2022 | book

Special issue: Innovations in Intelligent Systems and Applications

Journal of Information and Telecommunication

2022 | journal-article

A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection

Technologies

2021 | journal-article

Robot Anticipation Learning System for Ball Catching

robotics

2021 | journal-article

Adaptive optical beam alignment and link protection switching for 5G-over-FSO

Optics Express

2021 | journal-article

Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities

Review of Scientific Instruments

2021 | journal-article

General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry

An Automated Machine Learning Approach

2021 | book-chapter

Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks

2021 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)

2021 | conference-paper

Out of training distribution detection for multi-class skin lesion diagnosis

2021 | conference-paper

Processing and Extraction of Arterial Pulse Waves - comparison between manual and clustering based selections

2021 | journal-article

Transfer learning for skin lesion classification using convolutional neural networks

2021 | conference-paper

Deep learning models for brain machine interfaces

Annals of Mathematics and Artificial Intelligence

2020 | journal-article

An Intelligent Tool for Detection of Phishing Messages

Advances in Intelligent Systems and Computing

2020 | conference-paper

Automated Diagnosis of Skin Lesions

2020 | conference-paper

COVID-19 detection through X-Ray chest images

2020 International Conference Automatics and Informatics, ICAI 2020 - Proceedings

2020 | conference-paper

Deep learning for multi-class skin lesion diagnosis

2020 | journal-article

Features extraction from human eye movements via echo state network

Neural Computing and Applications

2020 | journal-article

Log Files Analysis for Network Intrusion Detection

2020 | conference-paper

Optical Character Recognition for Autonomous Stores

2020 | conference-paper

STDP Training of Hierarchical Spike Timing Model of Visual Information Processing

2020 | conference-paper

Tilt and Rotation Motion Control System for Solar Panel

2020 | conference-paper

Trajectory design of an Aircraft for Circular Motion

IEEE International Conference on Control and Automation

2020 | conference-paper

A self-surveillance system for change detection of pigmented skin lesions

2019 | dissertation-thesis

A study of transfer learning for skin lesion classification

2019 | dissertation-thesis

Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks

2019 | book-chapter

Data Analytics for Home Air Quality Monitoring

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

2019 | journal-article

Decision support service for Bewegen bike-sharing systems

2019 | dissertation-thesis

Deep learning in brain computer interfaces

ACM International Conference Proceeding Series

2019 | conference-paper

ECG-Based Human Emotion Recognition Across Multiple Subjects

2019 | book-chapter

Incremental Learning for Football Match Outcomes Prediction

2019 | book-chapter

Reinforcement Learning and Neuroevolution in Flappy Bird Game

2019 | book-chapter

Stream generation: Markov chains vs GANs

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2019 | conference-paper

Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions

Complexity

2018 | journal-article

ECG-based emotion recognition: Overview of methods and applications

2018 | conference-paper

Exploring the usefulness of morphological profiling of cells to study toxicity mechanisms

Toxicology Letters

2018 | journal-article

Human umbilical cord blood plasma as an alternative to animal sera for mesenchymal stromal cells in vitro expansion - A multicomponent metabolomic analysis

PLoS ONE

2018 | journal-article

Laboratory model for research on computer cluster systems

2018 | conference-paper

Overview of Deep Learning Architectures for EEG-based Brain Imaging

Proceedings of the International Joint Conference on Neural Networks

2018 | conference-paper

The role of early anticipations for human-robot ball catching

18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018

2018 | conference-paper

Development of intelligent tool for phising email detection

2017 | dissertation-thesis

Face recognition based on subject dependent Hidden Markov Models

2016 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016

2017 | conference-paper

Generalization and anticipation skills for robot ball catching using supervised learning

2017 | dissertation-thesis

Learning enhances sensory processing in mouse V1 before improving behavior

Journal of Neuroscience

2017 | journal-article

Reservoir computing for emotion valence discrimination from EEG signals

Neurocomputing

2017 | journal-article

Time accounting artificial neural networks for biochemical process models

Studies in Computational Intelligence

2017 | book-chapter

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources

IEEE Journal of Biomedical and Health Informatics

2016 | journal-article

Advances in Intelligent Signal Processing and Data Mining: Theory and Applications

Mendeley

2016 | other

Face detection and recognision

2016 | dissertation-thesis

Honeybees Learn Landscape Features during Exploratory Orientation Flights

Current Biology

2016 | journal-article

Learning to decode human emotions with Echo State Networks

Neural Networks

2016 | journal-article

Regression approach for automatic detection of attention lapses

2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings

2016 | conference-paper

BRAIN DATA ANALYSIS AND MANAGEMENT

GISAP:MSP

2015 | journal-article

ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

2015 | other

A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes

2015 | conference-paper

A Simple DDS Algorithm For TDS: An Example

2015 | conference-paper

A Simulation Based Approach For The Evaluation Of Outcome Driven Innovation Models

2015 | conference-paper

An Evaluation of Parchments’ Degradation - A Hybrid Approach

Parchment stands for a multifaceted material made from animal skin, which has been used for centuries as a writing support or as bookbinding. Due to the historic value of objects made of parchment, understanding their degradation and their condition is of utmost importance to archives, libraries and museums, i.e., the assessment of parchment degradation is mandatory, although it is hard to do with

2015 | journal-article

An Object-Oriented Approach For Virtual Prototyping In Conceptual Ship Design

2015 | conference-paper

Brain neural data analysis with feature space defined by descriptive statistics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | conference-paper

Causality Versus Predictability In Neural Network Modeling

2015 | conference-paper

Collaborative Virtual Environment For Engineering Laboratory

2015 | conference-paper

Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses

INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings

2015 | conference-paper

Data-Aware Scheduling In Massive Heterogeneous Systems

2015 | conference-paper

Design And Simulation Of Process Improvement Scenarios

2015 | conference-paper

EEG dynamic source localization using Marginalized Particle Filtering

Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

2015 | conference-paper

EEG-based subject independent affective computing models

Procedia Computer Science

2015 | conference-paper

Echo state networks for feature selection in affective computing

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2015 | conference-paper

Exploratory behaviour of honeybees during orientation flights

Animal Behaviour

2015 | journal-article

Heavy Context Dependence — Decisions Of Underground Soldiers

2015 | conference-paper

Learning to decode human emotions from event-related potentials

Neural Computing and Applications

2015 | journal-article

Memristor Modeling In MATLAB & PSPICE

2015 | conference-paper

Mobile Robot Navigation Algorithms Based On Stereovision

2015 | conference-paper

Multi-Formalism Modeling Of Human Organizations

2015 | conference-paper

Novel approach for simultaneous sediment classification and concentration determination of water turbidity

Proceedings of SPIE - The International Society for Optical Engineering

2015 | conference-paper

Perturbation In Local Search For Scheduling

2015 | conference-paper

Preface

Proceedings - 29th European Conference on Modelling and Simulation, ECMS 2015

2015 | conference-paper

Resiliency On Order-Driven Markets

2015 | conference-paper

Scalable And User-Friendly Simulation

2015 | conference-paper

Stochastic Multi-Agent Patrolling Using Social Potential Fields

2015 | conference-paper

The Gas Tiny Flow Measurement Instrumentation

2015 | conference-paper

Towards an adaptive brain-computer interface – An error potential approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | conference-paper

Face Recognition Using Singular Value Decomposition and Hidden Markov Models

The 16th International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS'14), p.144-149

2014 | conference-paper

Are spatial frequency cues used for whisker-based active discrimination?

Frontiers in Behavioral Neuroscience

2014 | journal-article

Bayesian tracking and multi-core beamforming for estimation of correlated brain sources

IET Conference Publications

2014 | conference-paper

Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods

2014 | conference-paper

Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures

Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

2014 | conference-paper

EEG signal processing for brain-computer interfaces

Springer Handbook of Bio-/Neuroinformatics

2014 | book-chapter

Error tolerant MPC versus PI control - A crystallization case study

2009 European Control Conference, ECC 2009

2014 | conference-paper

Error tolerant predictive control based on recurrent neural models

2014 | book

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data

Proceedings of the International Joint Conference on Neural Networks

2014 | conference-paper

Unsupervised EEG biosignal discrimination

International Journal of Reasoning-based Intelligent Systems

2014 | journal-article

Comparative analysis of brain data clustering

Conference in Mathematics, Informatics and Education (MIE)

2013 | conference-paper

A sequential Monte Carlo approach for brain source localization

2013 | book

Advances in Intelligent Signal Processing and Data Mining

Studies in Computational Intelligence

2013 | book

Bayesian approach for reconstruction of moving brain dipoles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | conference-paper

Cluster analysis for EEG biosignal discrimination

2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013

2013 | conference-paper

Echo State Networks in Dynamic Data Clustering

Lecture Notes in Computer Science

2013 | journal-article

IEETA brain computer interface technologies

International Journal of Computational Intelligence Studies

2013 | journal-article

Identification of vegetable oil adulterants in sunflower oil through discriminant analysis of colorimetric parameters

Bulgarian Journal of Agricultural Science

2013 | journal-article

In the depth of winter, I finally learned that within me there lay an invincible summer

2013 | book

Introduction to intelligent signal processing and data mining

2013 | book

Recurrent neural networks for automatic clustering of multispectral satellite images

Image and Signal Processing for Remote Sensing Xix

2013 | journal-article

Robust principal component analysis for brain imaging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | conference-paper

Robust principal component analysis for improving cognitive brain states discrimination from fMRI

2013 | conference-paper

Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG

Electrónica e Telecomunicações, vol 5(4), 391-399

2012 | journal-article

Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG

Este artigo apresenta um estudo referente a várias técnicas de Aprendizagem Automática (MachineLearning) e a sua aplicação para discriminar dois tipos de emoções humanas - valência emocional positiva e negativa, baseado em dados de eletroencefalografia (EEG).Numa primeira fase foi efetuada uma abordagemintrodutória das técnicas m

2012 | journal-article

Brain machine interface IEETA case study

IS'2012 - 2012 6th IEEE International Conference Intelligent Systems, Proceedings

2012 | conference-paper

Particle filters and beamforming for EEG source estimation

Proceedings of the International Joint Conference on Neural Networks

2012 | conference-paper

Model Predictive Control Strategies for Batch Sugar Crystallization Process

Advanced Model Predictive Control

2011 | other

Computer system for navigating a mobile robot

2011 | conference-paper

Instrumentation and Process Control - Process Control

Encyclopedia of Dairy Sciences - second edition, vol. 4, 242-251

2011 | encyclopedia-entry

Linear invariant systems theory for signal enhancement

Electrónica e Telecomunicações 5 (3), 290-294

2011 | journal-article

Neural networks for model predictive control

Proceedings of the International Joint Conference on Neural Networks

2011 | conference-paper

Nonlinear MPC for fed-batch multiple stages sugar crystallization

Chemical Engineering Research and Design

2011 | journal-article

Plant and Equipment: Instrumentation and Process Control: Process Control

2011 | book-chapter

Advances in EEG-based biometry

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | conference-paper

Clustering evoked potential signals using subspace methods

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

2010 | conference-paper

Detecção de actividade cerebral com imagens de ressonância magnética

2010 | dissertation-thesis

Estratégias avançadas de modelização e controlo para processos industriais não lineares e descontínuos : aplicação em cristalizadores industriais de açucar

2010 | dissertation-thesis

Interface cérebro-computador não invasiva baseada em OpenVibe

2010 | dissertation-thesis

Person identification using VEP signals and SVM classifiers

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

SSA of biomedical signals: A linear invariant systems approach

STATISTICS AND ITS INTERFACE

2010 | journal-article

Artificial neural networks for modeling in reaction process systems

Neural Computing and Applications

2009 | journal-article

Computationally efficient process control with neural networkbased predictive models

Proceedings of the International Joint Conference on Neural Networks

2009 | conference-paper

Intelligent predictive control - Application to scheduled crystallization processes

Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems, ICAIS 2009

2009 | conference-paper

Laboratório virtual de sistemas de controlo

2009 | dissertation-thesis

Novel computational methods for modeling and control in chemical and biochemical process systems

2009 | book

Sistema de identificação pessoal baseado em sinais de EEG

2009 | dissertation-thesis

Ajuste de controladores por optimização não linear multiobjectivo

2008 | dissertation-thesis

Controlo de sistemas dinâmicos com redes neuronais artificiais

2008 | dissertation-thesis

Neural network - Based estimation of reaction rates with partly unknown states and completely known kinetics coefficients

2008 4th International IEEE Conference Intelligent Systems, IS 2008

2008 | conference-paper

SISO versus MIMO model based predictive control structures: a fed-batch crystallizer case study

Electrónica e Telecomunicações 4 (9), 1064-1070

2008 | journal-article

SISO versus MIMO model based predictive control structures: a fed-batch crystallizer case study

This work is focused on a comparative study of four structures of linear model predictive control (LMPC) for a fed batch crystallization process. Two single input single output (SISO) and two multiple input multiple output (MIMO) control schemes are analysed with respect to the final process quality achieved. The linear models required in the controller structures are extracted applying two identi

2008 | journal-article

Dynamical model of brushite precipitation

Journal of Crystal Growth

2007 | journal-article

Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients

IEEE International Conference on Neural Networks - Conference Proceedings

2007 | conference-paper

Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis

IEEE International Conference on Neural Networks - Conference Proceedings

2007 | conference-paper

Linear model predictive control strategies applied to a batch sugar crystallizer

7th Portuguese Conference on Automatic Control–CONTROLO’2006

2006 | conference-paper

An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor

Engineering Letters

2006 | journal-article

Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process

Proceedings of World Academy of Science, Engineering and Technology, Vol 12

2006 | conference-paper

Application of artificial neural networks in modeling and optimization of batch crystallization processes

Electrónica e Telecomunicações 4 (6), 697-706

2006 | journal-article

Application of artificial neural networks in modeling and optimization of batch crystallization processes

This paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that t

2006 | journal-article

Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model

IEEE International Conference on Neural Networks - Conference Proceedings

2006 | conference-paper

Neural Network-Based Control Strategies Applied to a Fed-Batch Crystallization Process

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE Vol 3 (3)

2006 | journal-article

A time varying state space approach for sugar crystallization process modelling and monitoring

IFAC Proceedings Volumes (IFAC-PapersOnline)

2005 | conference-paper

Adaptive recurrent neural network control of biological wastewater treatment

International Journal of Intelligent Systems

2005 | journal-article

Modelling of dicalcium phosphate dihydrate precipitation from solution

2005 | conference-paper

On-line monitoring of a sugar crystallization process

Computers and Chemical Engineering

2005 | conference-paper

An adaptive integral plus states neural control of aerobic continuous stirred tank reactor

2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

2004 | conference-paper

On-line multivariate statistical monitoring of a fed-batch sugar crystallisation process

Computer Aided Chemical Engineering

2004 | book

Modeling of Sugar Crystallization through Knowledge Integration

Engineering in Life Sciences vol. 3 (3) p. 146-153

2003 | journal-article

Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena

Chemical Engineering Science

2003 | journal-article

Modeling of sugar crystallization through knowledge integration

2003 | journal-article

Neural network based biomass and growth rate estimation aimed to control of a chemostat microbial cultivation

Applied Artificial Intelligence

2003 | journal-article

Adaptive neural control of activated sludge processes

X Latin-American Congress of Automatic Control, AMCA/IFAC

2002 | conference-paper

A neural network based approach for measurement dynamics compensation

Applied Artificial Intelligence

2002 | journal-article

INSTRUMENTATION AND PROCESS CONTROL - Instrumentation

Encyclopedia of Dairy Sciences

2002 | encyclopedia-entry

INSTRUMENTATION AND PROCESS CONTROL - process control

Encyclopedia of Dairy Sciences

2002 | encyclopedia-entry

Plant and Equipment: Instrumentation and Process Control: Instrumentation

2002 | book

Adaptive λ-tracking control of activated sludge processes

International Journal of Control

2001 | journal-article

Discussion on: "Modeling and adaptive control of aerobic continuous stirred tank reactors" by P. Georgieva, A. Ilchmann and M.-F. Weirig

European Journal of Control

2001 | journal-article

Modelling and adaptive control of aerobic continuous stirred tank reactors

European Journal of Control

2001 | journal-article

Measurement dynamics compensation using neural network inverse modelling

4th Portuguese Conference on Automatic Control CONTROLO’2000, 318-323

2000 | conference-paper

Implementation of robust control theory to a continuous stirred tank bioreactor

Bioprocess Engineering

2000 | journal-article

MIMO adaptive linearizing control of fed-batch amino acids simultaneous production

Bioprocess Engineering

2000 | journal-article

LFT models of continuous biotechnological processes

Bioprocess Engineering

1999 | journal-article

Robust control design of an activated sludge process

International Journal of Robust and Nonlinear Control

1999 | journal-article

Anomalous angle dependence of the output signal of bipolar magnetic sensors

ASDAM 1998 Conference Proceedings: 2nd International Conference on Advanced Semiconductor Devices And Microsystems

1998 | conference-paper

CONTRAST AND ASSIMILATION - INCOMPATIBLE OR COMPLEMENTARY PROCESSES

Zeitschrift fur Psychologie-journal of Psychology

1994 | journal-article

Robust stability in multivariable feedback systems using dominance concept and approximate model

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

1993 | conference-paper

European Council for Modeling and Simulation (ECMS) - Proceedings 2015

| journal-article

Metabolomics - Fundamentals and Applications

| journal-article

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