Zobrazeno 1 - 10
of 71
pro vyhledávání: '"KIOURT, Chairi"'
Autor:
Karamanlis, Ioannis, Kokkalis, Alexandros, Profillidis, Vassilios, Botzoris, George, Kiourt, Chairi, Sevetlidis, Vasileios, Pavlidis, George
Publikováno v:
Data 2023, 8, 110
Black spot identification, a spatiotemporal phenomenon, involves analyzing the geographical location and time-based occurrence of road accidents. Typically, this analysis examines specific locations on road networks during set time periods to pinpoin
Externí odkaz:
http://arxiv.org/abs/2306.10734
Autor:
Tamvakis, Petros N., Kiourt, Chairi, Solomou, Alexandra D., Ioannakis, George, Tsirliganis, Nestoras C.
Plant phenotyping refers to a quantitative description of the plants properties, however in image-based phenotyping analysis, our focus is primarily on the plants anatomical, ontogenetical and physiological properties.This technique reinforced by the
Externí odkaz:
http://arxiv.org/abs/2210.13296
Autor:
Kiourt, Chairi, Feretzakis, Georgios, Dalamarinis, Konstantinos, Kalles, Dimitris, Pantos, Georgios, Papadopoulos, Ioannis, Kouris, Spyros, Ioannakis, George, Loupelis, Evangelos, Antonopoulos, Petros, Sakagianni, Aikaterini
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans for COVID-19 patients, provide an initial assessment of their performance and, ultimately, provide a fa
Externí odkaz:
http://arxiv.org/abs/2105.11187
With the advent of the computational technologies (Graphics Processing Units - GPUs) and Machine Learning, the research domain of crowd simulation for crisis management has flourished. Along with the new techniques and methodologies that have been pr
Externí odkaz:
http://arxiv.org/abs/2009.03934
The last few decades, crowd simulation for crisis management is highlighted as an important topic of interest for many scientific fields. As the continues evolution of computational resources increases, along with the capabilities of Artificial Intel
Externí odkaz:
http://arxiv.org/abs/2006.01216
Automatic image-based food recognition is a particularly challenging task. Traditional image analysis approaches have achieved low classification accuracy in the past, whereas deep learning approaches enabled the identification of food types and thei
Externí odkaz:
http://arxiv.org/abs/2004.03357
Autor:
Pistofidis, Petros, Arnaoutoglou, Fotis, Ioannakis, George, Michailidou, Natasa, Karta, Melpomeni, Kiourt, Chairi, Pavlidis, George, Mouroutsos, Spyridon G., Tsiafaki, Despoina, Koutsoudis, Anestis
Publikováno v:
In Journal of Cultural Heritage March-April 2023 60:1-11
Publikováno v:
Multi-Agent Systems and Agreement Technologies. EUMAS 2017, AT 2017. Lecture Notes in Computer Science
Agent based simulation of social organizations, via the investigation of agents' training and learning tactics and strategies, has been inspired by the ability of humans to learn from social environments which are rich in agents, interactions and par
Externí odkaz:
http://arxiv.org/abs/1807.02648
Autor:
Paxinou, Evgenia, Zafeiropoulos, Vasilis, Sypsas, Athanasios, Kiourt, Chairi, Kalles, Dimitris
Virtual laboratories are the new online educational trend for communicating to students practical skills of science. In this paper we report on a comparison of techniques for familiarizing distance learning students with a 3D virtual biology laborato
Externí odkaz:
http://arxiv.org/abs/1711.11502
Autor:
Pistofidis, Petros, Ioannakis, George, Arnaoutoglou, Fotis, Michailidou, Natasa, Karta, Melpomeni, Kiourt, Chairi, Pavlidis, George, Mouroutsos, Spyridon G., Tsiafaki, Despoina, Koutsoudis, Anestis
Publikováno v:
In Journal of Cultural Heritage November-December 2021 52:1-10