Ricardo Silva Peres
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2020
Peres, R. S., X. Jia, J. Lee, K. Sun, A. W. Colombo, and J. Barata.
"
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
."
IEEE Access
. 8 (2020): 220121-220139.
Abstract
n/a
2019
Peres, Ricardo Silva
An Industrial Data Analysis and Supervision Framework for Predictive Manufacturing Systems
. Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2019.
Abstract
n/a
Peres, Ricardo Silva
IFEVS Use Case
. Digitalized and Harmonized Industrial Production Systems., 2019.
Abstract
Website
n/a
2018
Peres, Ricardo Silva, Andre Dionisio Rocha, Paulo Leitao, and Jose Barata.
"
IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0
."
Computers in Industry
. 101 (2018): 138-146.
Abstract
Website
n/a
Peres, Ricardo Silva.
"
Improvement of Multistage Quality Control through the Integration of Decision Modeling and Cyber-Physical Production Systems
."
2018 International Conference on Intelligent Systems (IS)
. 2018.
Abstract
n/a
2017
Angione, Giacomo, José Barbosa, Frederik Gosewehr, Paulo Leitão, Daniele Massa, João Matos, Ricardo Silva Peres, André Dionisio Rocha, and Jeffrey Wermann.
"
Integration and Deployment of a Distributed and Pluggable Industrial Architecture for the PERFoRM Project
."
27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017
. Vol. 11. 2017. 896-904.
Abstract
n/a
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Recent Publications
An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction
An agent based monitoring architecture for plug and produce based manufacturing systems
A multiagent based knowledge extraction framework to support plug and produce capabilities in manufacturing monitoring systems
A systematic approach to trajectory planning applied to modular robots
Dynamic Simulation for MAS-Based Data Acquisition and Pre-processing in Manufacturing Using V-REP
Integration and Deployment of a Distributed and Pluggable Industrial Architecture for the PERFoRM Project
more