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 16-30 από 760 αποτελέσματα
16 N. Alachiotis, P. Skrimponis, M. Pissadakis and D. Pnevmatikatos, “Scalable phylogeny reconstruction with disaggregated near-memory processing,” ACM Trans. Reconfigurable Technol. Syst., vol. 15, no. 3, 2022, doi: 10.1145/3484983. 2024-02-26
17 Y. He, S. Xia, D. G. Angelakis, D. Song, Z. Chen and D. Leykam, “Persistent homology analysis of a generalized Aubry-André-Harper model,” Phys. Rev. B, vol. 106, no. 5, Aug. 2022, doi: 10.1103/physrevb.106.054210.2024-02-26
18 S. De Iaco, D. T. Hristopulos and G. Lin, “Special issue: geostatistics and machine learning,” Math. Geosci., vol. 54, no. 3, pp. 459–465, Apr. 2022, doi: 10.1007/s11004-022-09998-6.2024-02-26
19 G. J. Tsekouras, P. M. Deligianni, F. D. Kanellos, V. T. Kontargyri, P. A. Kontaxis, N. M. Manousakis and C. N. Elias, “Microbial fuel cell for wastewater treatment as power plant in smart grids: utopia or reality?,” Front. Energy Res., vol. 10, Apr. 2022, doi: 10.3389/fenrg.2022.843768.2024-02-26
20 G. Giannakakis, K. Makantasis, K. Giannakaki, M. Zervakis, and P. Vorgia, “Detection of focal epileptic seizures on EEG signals using the CSP algorithm,” Epilepsia, vol. 63, no. S2, pp. 107, Sep. 2022, doi: 10.1111/epi.17388.2024-02-26
21 D. Leykam, I. Rondón and D. G. Angelakis, “Dark soliton detection using persistent homology,” Chaos, vol. 32, no. 7, July 2022, doi: 10.1063/5.0097053.2024-02-23
22 J. Diaz, Z. Agioutantis, D. T. Hristopulos, S. Schafrik and K. Luxbacher, “Time series modeling of methane gas in underground mines,” Mining, Metallurgy & Exploration, vol. 39, no. 5, pp. 1961–1982, Oct. 2022, doi: 10.1007/s42461-022-00654-5.2024-02-23
23 D. T. Hristopulos, “Boltzmann–Gibbs random fields with mesh-free precision operators based on smoothed particle hydrodynamics,” Theor. Probability and Math. Statist., vol. 107, pp. 37-60, 2022, doi: 10.1090/tpms/1180.2024-02-08
24 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
25 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
26 A. Shevtsov, C. Tzagkarakis, D. Antonakaki, and S. Ioannidis, “Explainable machine learning pipeline for Twitter bot detection during the 2020 US Presidential Elections,” Software Impacts, vol. 13, Aug. 2022, doi: 10.1016/j.simpa.2022.100333.2024-01-08
27 G. Giakoumakis, E. Papadogiannaki, G. Vasiliadis, and S. Ioannidis, “Scheduling of multiple network packet processing applications using Pythia,” Comput. Networks, vol. 212, July 2022, doi: 10.1016/j.comnet.2022.109006.2024-01-05
28 A. Pavlides, V. D. Agou, and D. T. Hristopulos, “Non-parametric kernel-based estimation and simulation of precipitation amount,” J. Hydrol., vol. 612, Sep. 2022, 10.1016/j.jhydrol.2022.127988.2023-12-21
29 C. Liaskos, L. Mamatas, A. Pourdamghani, A. Tsioliaridou, S. Ioannidis, A. Pitsillides, S. Schmid and I. F. Akyildiz, "Software-defined reconfigurable intelligent surfaces: from theory to end-to-end implementation," Proc. IEEE, vol. 110, no. 9, pp. 1466-1493, Sept. 2022, doi: 10.1109/JPROC.2022.3169917.2023-12-15
30 C. Liaskos, A. Tsioliaridou, K. Georgopoulos, I. Morianos, S. Ioannidis, I. Salem, D. Manessis, S. Schmid, D. Tyrovolas, S. A. Tegos, P. -V. Mekikis, P. D. Diamantoulakis, A. Pitilakis, N. V. Kantartzis, G. K. Karagiannidis, A. C. Tasolamprou, O. Tsilipakos, M. Kafesaki, I. F. Akyildiz, A. Pitsillides, M. Pateraki, M. Vakalellis and I. Spais, "XR-RF imaging enabled by software-defined metasurfaces and machine learning: foundational vision, technologies and challenges," IEEE Access, vol. 10, pp. 119841-119862, 2022, doi: 10.1109/ACCESS.2022.3219871.2023-12-14
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