2021

Machine vision for ripeness estimation in viticulture automation – Horticulturae, vol. 7, iss. 9, 282, 2021

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)

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A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education – Frontiers in Robotics and AI, Vol 8, 2021

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)

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Robot-assisted relaxation training for children with autism spectrum disorders – WASET, International Journal of Psychological and Behavioral Sciences, Vol:15, No:8, 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)

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Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach – ITISE 2021, Gran Canaria, Spain, 19-21 July 2021

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

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