Journals

Grape stem detection using regression convolutional neural networks – Computers and Electronics in Agriculture, vol. 186, p. 106220, 2021

Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.

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An Autonomous Grape-Harvester Robot: Integrated System Architecture – Electronics, vol. 10, no. 9, p. 1056

E. Vrochidou, K. Tziridis, A. Nikolaou, T. Kalampokas, G. A. Papakostas, T. P. Pachidis, S. Mamalis, S. Koundouras, V G. Kaburlasos, “An autonomous grape-harvester robot: integrated system architecture”, Electronics 2021, 10(9), 1056; https://doi.org/10.3390/electronics10091056 (Special Issue on Control of Mobile Robots – Section “Systems & Control Engineering”. Guest Editor: Vladan Papic).

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Lightweight framework for interconnecting virtual and real things via Node-RED – International Scientific Journal “Industry 4.0”, vol. 5, iss. 5, pp. 202-205

M. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, “Towards social cognitive neuropsychology account of human-robot interaction”, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August – 01 September 2018, pp. 12-16

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