Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Konstantinos Perrakis"'
Autor:
Vasiliki N. Papadogianni, Alexandros Romeos, Athanasios Giannadakis, Konstantinos Perrakis, Thrassos Panidis
Publikováno v:
Fire, Vol 6, Iss 8, p 292 (2023)
This research investigated potential fire hazards originating in hidden areas of pressurized sections of aircrafts. The objective was to establish a laboratory-scale flammability test method to predict the behavior of fire propagation under real fire
Externí odkaz:
https://doaj.org/article/e0228eb7febc472baa3e0ee8e8a544e1
Autor:
Lazaros Tzelves, Ioannis Manolitsis, Ioannis Varkarakis, Mirjana Ivanovic, Miltiadis Kokkonidis, Cristina Sabater Useros, Thanos Kosmidis, Montserrat Muñoz, Imma Grau, Manos Athanatos, Anamaria Vizitiu, Konstantinos Lampropoulos, Tzortzia Koutsouri, Dimitra Stefanatou, Konstantinos Perrakis, Christina Stratigaki, Serge Autexier, Paris Kosmidis, Antonis Valachis
Publikováno v:
PLoS ONE, Vol 17, Iss 4 (2022)
Introduction Breast and prostate cancer survivors can experience impaired quality of life (QoL) in several QoL domains. The current strategy to support cancer survivors with impaired QoL is suboptimal, leading to unmet patient needs. ASCAPE aims to p
Externí odkaz:
https://doaj.org/article/bbee7e50972a4dd48d70b775e2d47449
Autor:
Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Günther, Jonas Schulte-Schrepping, Lea Seep, Kathrin Klee, Thomas Ulas, Torsten Haferlach, Sach Mukherjee, Joachim L. Schultze
Publikováno v:
iScience, Vol 23, Iss 1, Pp - (2020)
Summary: Acute myeloid leukemia (AML) is a severe, mostly fatal hematopoietic malignancy. We were interested in whether transcriptomic-based machine learning could predict AML status without requiring expert input. Using 12,029 samples from 105 diffe
Externí odkaz:
https://doaj.org/article/21af9d44709c481bb85c15acae10cbd5
Autor:
Vasiliki Papadogianni, Thrassos Panidis, Konstantinos Perrakis, Alexandros Romeos, Athanasios Giannadakis
Publikováno v:
Fire Technology. 56:1253-1285
The increasing use of composite materials in aircraft cabins and structures poses significant challenges in order to maintain and improve the fire safety of aviation. In this work, the flammability characteristics of a commercial glass-fibre reinforc
This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a
Autor:
Konstantinos Perrakis, Farhad Hatami, Frank Dondelinger, Sach Mukherjee, Johnathan Cooper-Knock
SummaryLarge-scale longitudinal data are often heterogeneous, spanning latent subgroups such as disease subtypes. In this paper, we present an approach calledlongitudinal joint cluster regression(LJCR) for penalized mixed modelling in the latent grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e1a56fac9563f1ebdac75126c02bde
https://doi.org/10.1101/2020.11.10.20229302
https://doi.org/10.1101/2020.11.10.20229302
Autor:
Thrassos Panidis, Konstantinos Perrakis, George Hinopoulos, Alexandros Romeos, Nikolitsa Apostolopoulou
Publikováno v:
Journal of Fire Sciences. 36:240-255
This work describes efforts to improve the repeatability of cone calorimeter tests of polyethylene flexible foam, used for pipe insulation. This material presented significant random deformation during burning, such as warping and rolling, which led
Publikováno v:
Journal of computational and graphical statistics 29(1), 28-39 (2019). doi:10.1080/10618600.2019.1624294
Journal of computational and graphical statistics, 2020, Vol.29(1), pp.28-39 [Peer Reviewed Journal]
Journal of computational and graphical statistics, 2020, Vol.29(1), pp.28-39 [Peer Reviewed Journal]
Applications of high-dimensional regression often involve multiple sources or types of covariates. We propose methodology for this setting, emphasizing the “wide data” regime with large total dimensionality p and sample size n≪p. We focus on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab16f3f3c027f41498be5c3b600f20d8
Publikováno v:
International Review of Mechanical Engineering (IREME). 15:1
The thermal decomposition and fire behavior of a Carbon fiber/Nomex honeycomb sandwich, used as partition material in aircrafts, was studied using thermogravimetric analysis (TGA) and oxygen consumption calorimetry (Cone Calorimeter). TGA results ind
Publikováno v:
Aircraft Engineering and Aerospace Technology. 88:285-293
Purpose The purpose of this paper is to study the structure and dynamic development of a pair of co-rotating trailing vortices, during their formation, interaction and merging, using detailed experimental measurements of the velocity and vorticity fi