V. G. Kaburlasos Archives - Page 5 of 25

Grapevine Plant Image Dataset for Pruning – Data 2022, 7(8), 110

09/08/2022

2022, Journals, Publications, Tegea

Abstract Grapevine pruning is conducted during winter, and it is a very important and expensive task for wine producers managing their vineyard. During grapevine pruning every year, the past year’s canes should be removed and should provide the possibility for new canes to grow and produce grapes. It is a difficult procedure, and it is not yet fully automated. However, some attempts have been made by the research community. Based on the literature, grapevine pruning automation is approximated with the…

View more from authors:

K. D. Apostolidis T. Kalampokas T. Pachidis V. G. Kaburlasos

Efficacy of a Robot-Assisted Intervention in Improving Learning Performance of Elementary School Children with Specific Learning Disorders – Children 2022, 9(8), 1155

31/07/2022

humain

2022, Journals, Publications, SRTSE

Abstract (1) Background: There has been significant recent interest in the potential role of social robots (SRs) in special education. Specific Learning Disorders (SpLDs) have a high prevalence in the student population, and early intervention with personalized special educational programs is crucial for optimal academic achievement. (2) Methods: We designed an intense special education intervention for children in the third and fourth years of elementary school with a diagnosis of a SpLD. Following confirmation of eligibility and informed consent, the…

View more from authors:

A. Evangeliou C. Bazinas C. Lytridis E. Avramidou E. Karageorgiou E. Kourampa M. Papadopoulou N. Geronikola P. Kechayas V. G. Kaburlasos

Potentials for decision support in business processes through a multi-layer network embeddings approach, 32nd EURO Conference, Espoo, Finland, 2022

06/07/2022

humain

2022, Cybspeed, Publications

Abstract In a business process, we expect multiple related entities to interact. For example, in the Order-to-Cash process, one can observe the events that are recorded with respect to the orders, to the packages, or to the items that are included in the order. Each case notion carries only a part of the aspects of the overall situation, thus, reducing the process to a single case notion means to deliberately neglect certain facets of reality, and moreover, it conceals a major risk to present features of one…

View more from authors:

L. Moussiades P. Delias V. G. Kaburlasos

A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques – Agronomy, vol. 12, no. 7, 1564, 2022

29/06/2022

humain

2022, Journals, Publications, POGHAR

C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://doi.org/10.3390/agronomy12071564

View more from authors:

A. Karampatea C. Bazinas E. Vrochidou T. Kalampokas V. G. Kaburlasos

Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions – NAFIPS 2022 Conference, Halifax, Nova Scotia, Canada

12/06/2022

humain

2022, Publications, Tegea

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.

View more from authors:

C. Bazinas E. Karapatzak E. Vrochidou V. G. Kaburlasos