T. Pachidis

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN 2020, Glasgow, United Kingdom

V. G. Kaburlasos, E. Vrochidou, C. Lytridis, G. A. Papakostas, T. Pachidis, M. Manios, S. Mamalis, T. Merou, S. Koundouras, S. Theocharis, G. Siavalas, C. Sgouros, P. Kyriakidis, “Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206965.

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Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing – IS 2020, Varna, Bulgaria

E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing,” 2020 IEEE 10th International Conference on Intelligent Systems (IS), Varna, Bulgaria, 2020, pp. 171-177, doi: 10.1109/IS48319.2020.9199958.

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Identifying the technological needs for developing a grapes harvesting robot: operations and systems – HAICTA 2020, Thessaloniki, Greece

E. Vrochidou, T. Pachidis, M. Manios, G. A. Papakostas, V. G. Kaburlasos, S. Theocharis, S. Koundouras, K. Karabatea, E. Bouloumpasi, S. Pavlidis, S. Mamalis, T. Merou. “Identifying the technological needs for developing a grapes harvesting robot: operations and systems”, 9th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2020). Thessaloniki, Greece, 24-27 September 2020, pp. 105-113. http://ceur-ws.org/Vol-2761/ (Open Access)

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Forward kinematic analysis of JACO2 robotic arm towards implementing a grapes harvesting robot – SoftCOM 2020, Hvar, Croatia

T. Pachidis, C. Sgouros, V. G. Kaburlasos, E. Vrochidou, T. Kalampokas, K. Tziridis, A. Nikolaou, G. A. Papakostas, “Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot,” 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Hvar, Croatia, 2020, pp. 1-6, doi: 10.23919/SoftCOM50211.2020.9238297.

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A machine learning based approach for next-day photovoltaic power forecasting – ICDS 2020, Fez, Morocco

A. Fentis, C. Lytridis, V. G. Kaburlasos, E. Vrochidou, T. Pachidis, E. Bahatti, M. Mestari, “A machine learning based approach for next-day photovoltaic power forecasting”, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020

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