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Τελευταίες Υποβολές

 1-15 από 15 αποτελέσματα
1 A.-A. Panagopoulos, F. Christianos, M. Katsigiannis, K. Mykoniatis, G. Chalkiadakis, M. Pritoni, T. Peffer, O. P. Panagopoulos, E. S. Rigas, D. E. Culler, N. R. Jennings, and T. Lipman, “iPlugie: intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources,” Simul. Modell. Pract. Theory, vol. 115, Feb. 2022, doi: 10.1016/j.simpat.2021.102439.2024-02-02
2 M. Pantelidakis, A. A. Panagopoulos, K. Mykoniatis, S. Ashkan, R. Cherupillil Eravi, V. Pamula, E. Verduzco, O. Babich, O. P. Panagopoulos, and G. Chalkiadakis, “Identifying sunlit leaves using Convolutional Neural Networks: an expert system for measuring the crop water stress index of pistachio trees,” Expert Syst. Appl., vol. 209, Dec. 2022, doi: 10.1016/j.eswa.2022.118326.2024-02-01
3 A. Antonopoulos, M. G. Lagoudakis, and P. Partsinevelos, “A ROS multi-tier UAV localization module based on GNSS, inertial and visual-depth data,” Drones, vol. 6, no. 6, May 2022, doi: 10.3390/drones6060135.2023-08-23
4 F. Bistaffa, G. Chalkiadakis, and A. Farinelli, “Efficient coalition structure generation via approximately equivalent induced subgraph games,” IEEE Trans. Cybern., vol. 52, no. 6, pp. 5548–5558, June 2022, doi: 10.1109/TCYB.2020.3040622.2023-02-21
5 A. A. Panagopoulos, F. Christianos, M. Katsigiannis, K. Mykoniatis, M. Pritoni, O. P. Panagopoulos, T. Peffer, G. Chalkiadakis, D. E. Culler, N. R. Jennings, and T. Lipman, “A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons,” Adv. Build. Energy Res., vol. 16, no. 2, pp. 202–213, Mar. 2022, doi: 10.1080/17512549.2020.1835712.2022-07-25
6 D. Chatziparaschis, M. G. Lagoudakis, and P. Partsinevelos, “Aerial and ground robot collaboration for autonomous mapping in search and rescue missions,” Drones, vol. 4, no. 4, Dec. 2020. doi: 10.3390/DRONES40400792021-12-21
7 E. G. M. Petrakis, F. Antonopoulos, S. Sotiriadis, and N. Bessis, “iPACS: a physical access control system as a service and mobile application,” J. Ambient Intell. Humaniz. Comput., vol. 11, no. 3, pp. 929–943, Mar. 2020. doi: 10.1007/s12652-019-01205-52021-11-19
8 C. Kalogerakis, E. Koutroulis, and M. G. Lagoudakis, “Global MPPT based on machine-learning for PV arrays operating under partial shading conditions,” Appl. Sci., vol. 10, no. 2, Jan. 2020. doi: 10.3390/app100207002021-09-27
9 V. Diakoloukas, F. Lygerakis, M. G. Lagoudakis, and M. Kotti, “Variational denoising autoencoders and least-squares policy iteration for statistical dialogue managers,” IEEE Signal Process. Lett., vol. 27, pp. 960–964, 2020. doi: 10.1109/LSP.2020.29983612021-09-27
10 A. Chliaoutakis and G. Chalkiadakis, “An agent-based model for simulating inter-settlement trade in past societies,” J. Artif. Soc. Soc. Simul., vol. 23, no. 3, Jun. 2020. doi: 10.18564/jasss.4341 2021-07-15
11 Y. Zick, G. Chalkiadakis, E. Elkind and E. Markakis, "Cooperative games with overlapping coalitions: charting the tractability frontier," Artif. Intell., vol. 271, pp. 74-97, Jun. 2019. doi: 10.1016/j.artint.2018.11.0062020-06-05
12 A. Doulamis, G. Giakos, E.G.M Petrakis and M. Zervakis, "Editorial note: Multimedia systems for critical engineering," vol, 77, no. 8, p. 9209, Apr. 2018. doi: 10.1007/s11042-018-5849-02019-12-06
13 S. Sotiriadis, N. Bessis, A. Anjum and R. Buyya, "An Inter-Cloud Meta-Scheduling (ICMS) simulation framework: architecture and evaluation," IEEE Trans. Serv. Comput., vol. 11, no. 1, pp. 5-19, Feb. 2018. doi: 10.1109/TSC.2015.23993122019-11-14
14 K. Douzis, S. Sotiriadis, E.G.M. Petrakis and C. Amza, "Modular and generic IoT management on the cloud," Future Gener. Comput. Syst., vol. 78, pt. 1, pp. 369-378, Jan. 2018. doi: 10.1016/j.future.2016.05.0412019-10-21
15 N. Bassiliades and G. Chalkiadakis, "Artificial intelligence techniques for the smart grid," Adv. Build. Energy Res., vol. 12, no. 1, pp. 1-2, Dec. 2017. doi: 10.1080/17512549.2017.14103622019-10-07