Journals

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

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

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Towards Robot-Assisted Therapy for Children With Autism—The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms – Frontiers in Robotics and AI, 06 April 2022, vol. 9

I. Salhi, M. Qbadou, S. Gouraguine, K. Mansouri, C. Lytridis, V. Kaburlasos, “Towards robot-assisted therapy for children with autism – the ontological knowledge models and reinforcement learning-based algorithms”, Frontiers in Robotics and AI, 06 April 2022, vol. 9, Article 713964. doi: 10.3389/frobt.2022.713964 (Special Issue on Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives – Section “Biomedical Robotics”. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)

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A Pediatric Patient With Autism Spectrum Disorder and Comorbid Compulsive Behaviors Treated With Robot-Assisted Relaxation: A Case Report – Cureus 14(2): e22409, 2022

V. A. Nikopoulou, V. Holeva, P. Tatsiopoulou, V. G. Kaburlasos, A. E. Evangeliou, “A pediatric patient with autism spectrum disorder and comorbid compulsive behaviors treated with robot-assisted relaxation: a case report”, Cureus 14(2):e22409. doi:10.7759/cureus.22409

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Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques – Sensors 2022, 22(2), 621

Lytridis, C.; Kaburlasos, V.G.; Bazinas, C.; Papakostas, G.A.; Sidiropoulos, G.; Nikopoulou, V.-A.; Holeva, V.; Papadopoulou, M.; Evangeliou, A. Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 2022, 22, 621. https://doi.org/10.3390/s22020621

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