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 61-75 από 750 αποτελέσματα
61 M. Dakanalis and F. D. Kanellos, “Efficient model for accurate assessment of frequency support by large populations of plug-in electric vehicles,” Inventions, vol. 6, no. 4, Nov. 2021, doi: 10.3390/inventions6040089.2023-04-05
62 G. Vougioukas, A. Bletsas and J. N. Sahalos, "Instantaneous, zero-feedback fading mitigation with simple backscatter radio tags," in IEEE J. Radio Freq. Identif. (RFID), vol. 5, no. 4, pp. 451-464, Dec. 2021, doi: 10.1109/JRFID.2020.3031380.2023-04-05
63 E. Kavroulakis, N. J. Simos, T.G. Maris, I. Zaganas, S. Panagiotakis and E. Papadaki, “Evidence of age-related hemodynamic and functional connectivity impairment: a resting state fMRI study,” Front. Neurol., vol. 12, Mar. 2021, doi: 10.3389/fneur.2021.633500.2023-03-15
64 G. Hatzivasilis, K. Fysarakis, S. Ioannidis, I. Hatzakis, G. Vardakis, N. Papadakis, and G. Spanoudakis, “SPD-Safe: secure administration of railway intelligent transportation systems,” Electronics, vol. 10, no. 1, Jan. 2021, doi: 10.3390/electronics10010092.2023-03-06
65 H. Kamrani, A. Z. Asli, P. P. Markopoulos, M. Langberg, D. A. Pados and G. N. Karystinos, "Reduced-rank L1-norm Principal-Component Analysis with performance guarantees," IEEE Trans. Signal Process., vol. 69, pp. 240-255, 2021, doi: 10.1109/TSP.2020.3039599.2023-03-06
66 D. Antypa, N. J. Simos, E. Kavroulakis, G. Bertsias, A. Fanouriakis, P. Sidiropoulos, D. Boumpas, and E. Papadaki, “Anxiety and depression severity in neuropsychiatric SLE are associated with perfusion and functional connectivity changes of the frontolimbic neural circuit: a resting-state f(unctional) MRI study,” Lupus Sci. Med., vol. 8, no. 1, Apr. 2021, doi: 10.1136/lupus-2020-000473.2023-03-02
67 K. Makantasis, A. Georgogiannis, A. Voulodimos, I. Georgoulas, A. Doulamis and N. Doulamis, "Rank-R FNN: a tensor-based learning model for high-order data classification," IEEE Access, vol. 9, pp. 58609-58620, Apr. 2021, doi: 10.1109/ACCESS.2021.3072973.2023-03-02
68 D. Allard, D. T. Hristopulos, and T. Opitz, “Linking physics and spatial statistics: a new family of Boltzmann-Gibbs random fields,” Electron. J. Statist., vol. 15, no. 2, pp. 4085-4116, 2021, doi: 10.1214/21-EJS1879.2023-02-21
69 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
70 A. Filgueras, M. Vidal, M. Mateu, D. Jimenez-Gonzalez, C. Alvarez, X. Martorell, E. Ayguade, D. Theodoropoulos, D. Pnevmatikatos, P. Gai, S. Garzarella, D. Oro, J. Hernando, N. Bettin, A. Pomella, M. Procaccini, and R. Giorgi, “The AXIOM project: IoT on heterogeneous embedded platforms,” IEEE Des. Test, vol. 38, no. 5, pp. 74–81, Oct. 2021, doi: 10.1109/MDAT.2019.2952335.2023-02-20
71 M. J. Baucas, P. Spachos, and S. Gregori, “Internet-of-Things devices and assistive technologies for health care: applications, challenges, and opportunities,” IEEE Signal Process. Mag., vol. 38, no. 4, pp. 65–77, July 2021, doi: 10.1109/MSP.2021.3075929.2023-02-16
72 N. Chang, S. Gundogdu, D. Leykam, D. G. Angelakis, S. Kou, S. Flach, and A. Maluckov, “Nonlinear Bloch wave dynamics in photonic Aharonov–Bohm cages,” APL Photon., vol. 6, no. 3, Mar. 2021, doi: 10.1063/5.0037767.2023-02-15
73 A. Moustakas and O. Davlias, “Minimal effect of prescribed burning on fire spread rate and intensity in savanna ecosystems,” Stoch. Environ. Res. Risk Assess., vol. 35, no. 4, pp. 849–860, Apr. 2021, doi: 10.1007/s00477-021-01977-3.2023-02-06
74 D. Antonakaki, P. Fragopoulou and S. Ioannidis, “A survey of Twitter research: data model, graph structure, sentiment analysis and attacks,” Expert Syst. Appl., vol. 164, Feb. 2021, doi: 10.1016/j.eswa.2020.114006.2023-02-02
75 G. Charitopoulos, I. Papaefstathiou, and D. N. Pnevmatikatos, “Creating customized CGRAs for scientific applications,” Electronics, vol. 10, no. 4, Feb. 2021, doi: 10.3390/electronics10040445.2023-01-26
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