E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, “Machine vision for ripeness estimation in viticulture automation”, Horticulturae, vol. 7, iss. 9, 282; https://www.mdpi.com/2311-7524/7/9/282 (Open Access). (Special Issue on “Advances in Viticulture Production”. Guest Editor: Massimo Bertamini)
M. Dimitrova, H. Wagatsuma, A. Krastev, E. Vrochidou, J. D. Nunez-Gonzalez, “A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education”, Frontiers in Robotics and AI, 31 August 2021. https://www.frontiersin.org/articles/10.3389/frobt.2021.715962/full (Section Biomedical Robotics – Research Topic Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)
N. S. T. Hirata and G. A. Papakostas, “On Machine-Learning Morphological Image Operators,” Mathematics, vol. 9, no. 16, p. 1854, Aug. 2021.
V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, “Robot-assisted relaxation training for children with autism spectrum disorders”, World Academy of Science, Engineering and Technology (WASET) International Journal of Psychological and Behavioral Sciences, International Scholarly and Scientific Research & Innovation, vol. 15, no. 8, pp. 711-714, August 2021. https://publications.waset.org/vol/176 (Open Access)
Bazinas, C.; Vrochidou, E.; Lytridis, C.; Kaburlasos, V.G. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach. Eng. Proc. 2021, 5, 12. https://doi.org/10.3390/engproc20210050012
Greek