Algoritmi | User | Petia Georgieva Georgieva


Petia Georgieva Georgieva

Petia Georgieva Georgieva
Personal Email
Orcid
0000-0002-6424-6590Researcher ID
FCT Public Key
Ciência ID
6D1E-22DA-1F69Google Scholar
About Me
Petia Georgieva is Professor (with Habilitation, DSc) of Machine Learning in the Department of Electronics Telecommunications and Informatics (DETI) at University of Aveiro, Portugal, senior researcher in the Institute of Electronics Engineering and Telematics of Aveiro (IEETA), and collaborator member of Institute of Telecommunications (IT), Portugal. Her research interests include machine learning, deep learning and data mining applied in diverse scenarios and use cases such as medical imaging, optical and wireless communications, smart homes, robotics, brain computer interfaces. She holds Master and PhD degrees in Electrical Engineering from Technical University of Sofia (TUS); PhD degree in Electrical and Computer Engineering from the University of Porto (FEUP), Portugal in 2003 and D.Sc. in Informatics from University of Aveiro, 2022. She has held several visiting positions: A visiting faculty at Carnegie Mellon University (CMU) - Silicon Valley in 2019 (Fall Semester), CMU-Pittsburgh in 2012 (Fall Semester), an invited professor at Rowan University, Glassboro, New Jersey, USA in 2016 (Spring Semester), an invited researcher at the School of Computing and Communications, University of Lancaster, UK in 2010. Dr. Georgieva has given a number of invited talks - the plenary talk at the EPIA Conference on Artificial Intelligence (Faial, Portugal, 2023); the plenary talk at the IEEE Workshop on Communication Networks and Power Systems (WCNPS’23, Brazil); the plenary talk at the International Conference Automatics, Robotics and Artificial Intelligence (ICARAI, 2023, Bulgaria); the keynote talk at the 9th EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS, 2023, Portugal), the keynote speech at the 9th Balkan Conference in Informatics (Sofia, Bulgaria, 2019); the keynote speech at the 10th International Conference on Soft Computing and Pattern Recognition (Porto, Portugal, 2018). Dr. Georgieva is a Senior member of IEEE and a Senior Member of International Neural Network Society (INNS) - https://www.inns.org/. She has been elected as a Member of the Board of Governors of INNS (for 2024-2026). (https://www.inns.org/board-of-governors-and-bylaws) Her research is funded by EU projects, Portuguese Foundation for Science and Technology (FCT), Portugal 2020 / Portugal 2030 and the industry (Bosch, AlticeLab, Nokia, Infinera, etc.).
Publications (221)
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