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 31-45 out of 802 results
31 D. G. Kyriakou and F. D. Kanellos, “Energy and power management system for microgrids of large‐scale building prosumers,” IET Energy Syst. Integr., vol. 5, no. 2, pp. 228–244, June 2023, doi: 10.1049/esi2.12095.2025-03-20
32 N. Bekiaris-Liberis, "Robust string stability and safety of CTH predictor-feedback CACC," IEEE Trans. Intell. Transp. Syst., vol. 24, no. 8, pp. 8209-8221, Aug. 2023, doi: 10.1109/TITS.2023.3265209.2025-03-19
33 J.-P. Humaloja and N. Bekiaris-Liberis, "Stabilization of a class of large-scale systems of linear hyperbolic PDEs via continuum approximation of exact backstepping kernels," 2025. 2025-03-17
34 P. Partsinevelos, G. Petrakis, A. Antonopoulos, T. Fotakis, S. Bikos, Z. Charokopos and A. Tripolitsiotis, “Aerial geodetic total station platform for precise active positioning in GNSS-degraded environments,” Autom. Constr., vol. 158, Feb. 2024, doi: 10.1016/j.autcon.2023.105216.2025-03-05
35 D. G. Kyriakou and F. D. Kanellos, “Optimal frequency support method for urban microgrids of building prosumers,” Sustainable Cities Soc., vol. 98, Nov. 2023, doi: 10.1016/j.scs.2023.104776.2025-03-05
36 D. G. Kyriakou and F. D. Kanellos, “Sustainable operation of active distribution networks,” Appl. Sci., vol. 13, no. 5, Feb. 2023, doi: 10.3390/app13053115.2025-02-27
37 A. Vogiatzis, S. Orfanoudakis, G. Chalkiadakis, K. Moirogiorgou and M. Zervakis, “Novel meta-learning techniques for the multiclass image classification problem,” Sensors, vol. 23, no. 1, Jan. 2023, doi: 10.3390/s23010009.2025-02-20
38 J.-P. Humaloja and N. Bekiaris-Liberis, “On computation of approximate solutions to large-scale backstepping kernel equations via continuum approximation,” 2024, arXiv: 2406.13612.2024-12-05
39 S. Singh and N. Bekiaris-Liberis, "Numerical and Lyapunov-based investigation of the effect of stenosis on blood transport stability using a control-theoretic PDE model of cardiovascular flow," IEEE Control Syst. Lett.2024-10-29
40 F. Koudohode and N. Bekiaris-Liberis, “Simultaneous compensation of input delay and state/input quantization for linear systems via switched predictor feedback,” Syst. Control Lett., 2024, doi: 10.1016/j.sysconle.2024.105912.2024-08-28
41 A. Shevtsov, M. Oikonomidou, D. Antonakaki, P. Pratikakis, A. Kanterakis, P. Fragopoulou and S. Ioannidis, “Discovery and classification of Twitter bots,” SN Comput. Sci., vol. 3, no. 3, Apr. 2022, doi: 10.1007/s42979-022-01154-5.2024-07-09
42 A. Karalakou, D. Troullinos, G. Chalkiadakis and M. Papageorgiou, “Deep reinforcement learning reward function design for autonomous driving in lane-free traffic,” Systems, vol. 11, no. 3, Mar. 2023, doi: 10.3390/systems11030134.2024-06-28
43 A. A. Karandinou, and F. D. Kanellos, "A method for the assessment of multi-objective optimal charging of plug-in electric vehicles at power system level," WSEAS Trans. Syst. Control, vol. 17, pp. 314-323, July 2022, doi: 10.37394/23203.2022.17.36.2024-05-31
44 M. Papoutsakis, K. Fysarakis, E. Michalodimitrakis, G. Spanoudakis and S. Ioannidis, “CIRCE: architectural patterns for circular and trustworthy by-design IoT orchestrations,” Front. Sustain., vol. 3, Feb. 2022, doi: 10.3389/frsus.2022.792103.2024-05-31
45 N. G. Bourbakis, K. Michalopoulos, M. Antonakakis and M. Zervakis, “A new multi-resolution approach to EEG brain modeling using local-global graphs and stochastic petri-nets,” Int. J. Neur. Syst., vol. 32, no. 5, May 2022, doi: 10.1142/S012906572250006X.2024-04-22
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