Zobrazeno 1 - 10
of 129
pro vyhledávání: '"K. Sidiropoulos"'
Autor:
Panagiotis D. Kolokathis, Nikolaos K. Sidiropoulos, Dimitrios Zouraris, Dimitra-Danai Varsou, Dimitris G. Mintis, Andreas Tsoumanis, Francesco Dondero, Thomas E. Exner, Haralambos Sarimveis, Evgenia Chaideftou, Martin Paparella, Fotini Nikiforou, Achilleas Karakoltzidis, Spyros Karakitsios, Dimosthenis Sarigiannis, Jesper Friis, Gerhard Goldbeck, David A. Winkler, Willie Peijnenburg, Angela Serra, Dario Greco, Georgia Melagraki, Iseult Lynch, Antreas Afantitis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 25, Iss , Pp 256-268 (2024)
Modelling Data (MODA) reporting guidelines have been proposed for common terminology and for recording metadata for physics-based materials modelling and simulations in a CEN Workshop Agreement (CWA 17284:2018). Their purpose is similar to that of th
Externí odkaz:
https://doaj.org/article/9b06f4f4442c494a81777fdaa46ddf7c
Autor:
Panagiotis D. Kolokathis, Dimitrios Zouraris, Nikolaos K. Sidiropoulos, Andreas Tsoumanis, Georgia Melagraki, Iseult Lynch, Antreas Afantitis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 25, Iss , Pp 230-242 (2024)
NanoTube Construct is a web tool for the digital construction of nanotubes based on real and hypothetical single-layer materials including carbon-based materials such as graphene, graphane, graphyne polymorphs, graphidiyene and non-carbon materials s
Externí odkaz:
https://doaj.org/article/e8bfc84efed042a48dfbb0d80e0e3027
Autor:
Panagiotis D. Kolokathis, Evangelos Voyiatzis, Nikolaos K. Sidiropoulos, Andreas Tsoumanis, Georgia Melagraki, Kaido Tämm, Iseult Lynch, Antreas Afantitis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 25, Iss , Pp 34-46 (2024)
ASCOT (an acronym derived from Ag-Silver, Copper Oxide, Titanium Oxide) is a user-friendly web tool for digital construction of electrically neutral, energy-minimized spherical nanoparticles (NPs) of Ag, CuO, and TiO2 (both Anatase and Rutile forms)
Externí odkaz:
https://doaj.org/article/a1488a2a921a4395b2e77edd5f193313
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2443 (2023)
This article focuses on the recent advances in the field of reinforcement learning (RL) as well as the present state–of–the–art applications in games. First, we give a general panorama of RL while at the same time we underline the way that it h
Externí odkaz:
https://doaj.org/article/5373b10962814d4c94b8faeedd8460ef
Autor:
George K. Sidiropoulos, Athanasios G. Ouzounis, George A. Papakostas, Anastasia Lampoglou, Ilias T. Sarafis, Andreas Stamkos, George Solakis
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 191 (2022)
An important factor in the successful marketing of natural ornamental rocks is providing sets of tiles with matching textures. The market price of the tiles is based on the aesthetics of the different quality classes and can change according to the v
Externí odkaz:
https://doaj.org/article/6dcfa0cd6880478caa39738d416d1651
Publikováno v:
Information, Vol 13, Iss 5, p 235 (2022)
A very important task of Natural Language Processing is text categorization (or text classification), which aims to automatically classify a document into categories. This kind of task includes numerous applications, such as sentiment analysis, langu
Externí odkaz:
https://doaj.org/article/321be2509ec2489bb70d93f9d7419a61
Publikováno v:
Information, Vol 13, Iss 2, p 64 (2022)
This paper presents the fsmpy Python library for the implementation of any type of measures and comparisons of different types of fuzzy sets, as well as other important and useful utilities and algorithms. In this paper, we analyze the motivation beh
Externí odkaz:
https://doaj.org/article/e1f6504e0bc34cbfa8fdef190b8f2839
Publikováno v:
Journal of Imaging, Vol 7, Iss 5, p 89 (2021)
This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition. The presented study is designed in a systematic way in order to bring light to the scientific interest for biometric systems based on fin
Externí odkaz:
https://doaj.org/article/8f3e4172970c4c8ea116c4d799417127
Autor:
George K. Sidiropoulos, Athanasios G. Ouzounis, George A. Papakostas, Ilias T. Sarafis, Andreas Stamkos, Vassilis Kalpakis, George Solakis
Publikováno v:
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33597b847441f7ba67c77ca3b1b620a
https://doi.org/10.1109/iemcon53756.2021.9623255
https://doi.org/10.1109/iemcon53756.2021.9623255
Autor:
Eleni Vrochidou, George K. Sidiropoulos, Athanasios G. Ouzounis, Anastasia Lampoglou, Ioannis Tsimperidis, George A. Papakostas, Ilias T. Sarafis, Vassilis Kalpakis, Andreas Stamkos
Publikováno v:
Electronics; Volume 11; Issue 20; Pages: 3289
Cracks can occur on different surfaces such as buildings, roads, aircrafts, etc. The manual inspection of cracks is time-consuming and prone to human error. Machine vision has been used for decades to detect defects in materials in production lines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adb5a618c0cc4a308bff92fba947771f
https://doi.org/10.3390/electronics11203289
https://doi.org/10.3390/electronics11203289