The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor N Nikolakis, K Alexopoulos, E Xanthakis, G Chryssolouris International Journal of Computer Integrated Manufacturing 32 (1), 1-12, 2019 | 162 | 2019 |
A cyber physical system (CPS) approach for safe human-robot collaboration in a shared workplace N Nikolakis, V Maratos, S Makris Robotics and Computer-Integrated Manufacturing 56, 233-243, 2019 | 159 | 2019 |
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing K Alexopoulos, N Nikolakis, G Chryssolouris International Journal of Computer Integrated Manufacturing 33 (5), 429-439, 2020 | 123 | 2020 |
Dynamic scheduling of shared human-robot manufacturing operations N Nikolakis, N Kousi, G Michalos, S Makris Procedia CIRP 72, 9-14, 2018 | 63 | 2018 |
A deep learning model for predictive maintenance in cyber-physical production systems using lstm autoencoders X Bampoula, G Siaterlis, N Nikolakis, K Alexopoulos Sensors 21 (3), 972, 2021 | 56 | 2021 |
On a containerized approach for the dynamic planning and control of a cyber-physical production system N Nikolakis, R Senington, K Sipsas, A Syberfeldt, S Makris Robotics and computer-integrated manufacturing 64, 101919, 2020 | 37 | 2020 |
A cloud-to-edge approach to support predictive analytics in robotics industry S Panicucci, N Nikolakis, T Cerquitelli, F Ventura, S Proto, E Macii, ... Electronics 9 (3), 492, 2020 | 32 | 2020 |
On a shared human-robot task scheduling and online re-scheduling N Nikolakis, K Sipsas, P Tsarouchi, S Makris Procedia CIRP 78, 237-242, 2018 | 20 | 2018 |
Multi-criteria assembly line design under demand uncertainty N Papakostas, G Pintzos, C Giannoulis, N Nikolakis, G Chryssolouris Procedia CIRP 25, 86-92, 2014 | 19 | 2014 |
A quantitative approach to resilience in manufacturing systems K Alexopoulos, I Anagiannis, N Nikolakis, G Chryssolouris International Journal of Production Research 60 (24), 7178-7193, 2022 | 17 | 2022 |
A fog computing approach for predictive maintenance T Cerquitelli, D Bowden, A Marguglio, L Morabito, C Napione, S Panicucci, ... Advanced Information Systems Engineering Workshops: CAiSE 2019 International …, 2019 | 17 | 2019 |
A cyber-physical context-aware system for coordinating human-robot collaboration N Nikolakis, K Sipsas, S Makris Procedia CIRP 72, 27-32, 2018 | 17 | 2018 |
A microservice architecture for predictive analytics in manufacturing N Nikolakis, A Marguglio, G Veneziano, P Greco, S Panicucci, ... Procedia Manufacturing 51, 1091-1097, 2020 | 14 | 2020 |
A machine learning approach for improved shop-floor operator support using a two-level collaborative filtering and gamification features N Nikolakis, G Siaterlis, K Alexopoulos Procedia CIRP 93, 455-460, 2020 | 12 | 2020 |
On a versatile scheduling concept of maintenance activities for increased availability of production resources N Nikolakis, A Papavasileiou, K Dimoulas, K Bourmpouchakis, S Makris Procedia CIRP 78, 172-177, 2018 | 12 | 2018 |
A Cloud-to-edge Architecture for Predictive Analytics. D Bowden, A Marguglio, L Morabito, C Napione, S Panicucci, N Nikolakis, ... EDBT/ICDT Workshops, 2019 | 11 | 2019 |
Motion parameters identification for the authoring of manual tasks in digital human simulations: an approach using semantic modelling G Pintzos, N Nikolakis, K Alexopoulos, G Chryssolouris Procedia CIRP 41, 752-758, 2016 | 11 | 2016 |
Energy-based prognosis of the remaining useful life of the coating segments in hot rolling mill I Anagiannis, N Nikolakis, K Alexopoulos Applied Sciences 10 (19), 6827, 2020 | 10 | 2020 |
Synthetic datasets for Deep Learning in computer-vision assisted tasks in manufacturing C Manettas, N Nikolakis, K Alexopoulos Procedia CIRP 103, 237-242, 2021 | 9 | 2021 |
An IIoT approach for edge intelligence in production environments using machine learning and knowledge graphs G Siaterlis, M Franke, K Klein, KA Hribernik, G Papapanagiotakis, ... Procedia CIRP 106, 282-287, 2022 | 7 | 2022 |