V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May – 3 June 2022.
V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 26. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems”, Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281/zenodo.6562355.
Christos Bazinas, Eleni Vrochidou, Chris Lytridis, and Vassilis G. Kaburlasos. 2021. Yield Estimation in Vineyards Using Intervals’ Numbers Techniques. In 25th Pan-Hellenic Conference on Informatics (PCI 2021). Association for Computing Machinery, New York, NY, USA, 454–459. DOI:https://doi.org/10.1145/3503823.3503906
V. G. Kaburlasos, C. Lytridis, E. Vrochidou, C. Bazinas, G. A. Papakostas, A. Lekova, O. Bouattane, M. Youssfi, T. Hashimoto, “Granule-based-classifier (GbC): a lattice computing scheme applied on tree data structures”, Mathematics, vol. 9, no. 22, 2889, 2021. https://www.mdpi.com/2227-7390/9/22/2889 (Special Issue on Lattice Computing: A Mathematical Modelling Paradigm for Cyber–Physical System Applications – Section “Computational and Applied Mathematics”. Guest Editor: Vassilis G. Kaburlasos)
E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation”, 13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference, 25-26 May 2021. In: MDPI Engineering Proceedings 2021, 9 (1), 2; https://www.mdpi.com/2673-4591/9/1/2
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