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Nikolaos Nikolakis
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2020 – today
- 2024
- [j8]Vasilis Siatras
, Emmanouil Bakopoulos
Production Scheduling Based on a Multi-Agent System and Digital Twin: A Bicycle Industry Case. Inf. 15(6): 337 (2024) - [j7]Xanthi Bampoula, Nikolaos Nikolakis
Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders. Sensors 24(10): 3215 (2024) - 2023
- [j6]Aleksandr Sidorenko, William Motsch, Michael van Bekkum, Nikolaos Nikolakis, Kosmas Alexopoulos, Achim Wagner:
The MAS4AI framework for human-centered agile and smart manufacturing. Frontiers Artif. Intell. 6 (2023) - [c9]Panagiotis Mavrothalassitis, Nikolaos Nikolakis, Kosmas Alexopoulos:
Discrete Event Simulation for Improving the Performance of Manufacturing Systems: A Case Study for Renewable Energy Sources Production. APMS (4) 2023: 650-665 - [c8]Kosmas Alexopoulos, Thodoris Tsoukaladelis, Chrysa Dimitrakopoulou, Nikolaos Nikolakis, Amit Eytan:
An approach towards Zero Defect Manufacturing by combining IIoT data with Industrial Social Networking. ISM 2023: 403-412 - [c7]Valentina Pasquinelli, Milena Martarelli, Nicola Paone, Paolo Castellini, Luigi Montalto, Kosmas Alexopoulos, Nikolaos Nikolakis, Wilhelm van de Kamp, Bart Verhoef:
Beam Straightness Measurement with Laser Triangulation System: a steel industry use case. MetroInd4.0&IoT 2023: 130-135 - [c6]Silvia Discepolo, Milena Martarelli, Nicola Paone, Paolo Castellini, Wilhelm van de Kamp, Bart Verhoef, Nikolaos Nikolakis, Kosmas Alexopoulos:
A robot-based inspecting system for 3D measurement. MetroInd4.0&IoT 2023: 136-141 - [c5]Vittoria Medici, Milena Martarelli, Nicola Paone, Giuseppe Pandarese, Wilhelm van de Kamp, Bart Verhoef, Konstantinos Sipsas, Raimund Broechler, Lara Barja Besada, Kosmas Alexopoulos, Nikolaos Nikolakis:
Integration of Non-Destructive Inspection (NDI) systems for Zero-Defect Manufacturing in the Industry 4.0 era. MetroInd4.0&IoT 2023: 439-444 - 2022
- [j5]Kosmas Alexopoulos, Ioannis Anagiannis, Nikolaos Nikolakis, George Chryssolouris:
A quantitative approach to resilience in manufacturing systems. Int. J. Prod. Res. 60(24): 7178-7193 (2022) - 2021
- [j4]Xanthi Bampoula
A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders. Sensors 21(3): 972 (2021) - 2020
- [j3]Kosmas Alexopoulos
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing. Int. J. Comput. Integr. Manuf. 33(5): 429-439 (2020) - [j2]Nikolaos Nikolakis, Richard Senington
On a containerized approach for the dynamic planning and control of a cyber - physical production system. Robotics Comput. Integr. Manuf. 64: 101919 (2020) - [c4]Nikolaos Nikolakis, Xanthi Bampoula, Kosmas Alexopoulos:
Scheduling Predictive Maintenance with Production Tasks: A Steel Industry Case Study. I-ESA Workshops 2020
2010 – 2019
- 2019
- [j1]Nikolaos Nikolakis, Kosmas Alexopoulos
The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor. Int. J. Comput. Integr. Manuf. 32(1): 1-12 (2019) - [c3]Tania Cerquitelli, David Bowden, Angelo Marguglio, Lucrezia Morabito
A Fog Computing Approach for Predictive Maintenance. CAiSE Workshops 2019: 139-147 - [c2]David Bowden, Angelo Marguglio, Lucrezia Morabito, Chiara Napione, Simone Panicucci, Nikolaos Nikolakis, Sotiris Makris, Guido Coppo, Salvatore Andolina, Alberto Macii, Enrico Macii, Niamh O'Mahony, Paul Becker, Sven Jung:
A Cloud-to-edge Architecture for Predictive Analytics. EDBT/ICDT Workshops 2019 - 2010
- [c1]María Alduán, Federico Alvarez, Theodore B. Zahariadis
Architectures for Future Media Internet. UCMedia 2010: 105-112
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