Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Themistoklis Koutsellis"'
Autor:
Themistoklis Koutsellis, Georgios Xexakis, Konstantinos Koasidis, Natasha Frilingou, Anastasios Karamaneas, Alexandros Nikas, Haris Doukas
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101513- (2023)
Fuzzy Cognitive Mapping is a semi-quantitative modelling method, widely used for decision support in various domains. However, existing software applications have been criticised over inadequate handling of uncertain information, lack of accessibilit
Externí odkaz:
https://doaj.org/article/bb7e58da915e42b68a7d8b97d496f342
Autor:
Aikaterini Forouli, Anastasios Pagonis, Alexandros Nikas, Konstantinos Koasidis, Georgios Xexakis, Themistoklis Koutsellis, Christos Petkidis, Haris Doukas
Publikováno v:
SoftwareX, Vol 20, Iss , Pp 101220- (2022)
This paper presents AUGMECON-Py, a Python framework for solving large and complex multi-objective linear programming problems under uncertainty, optimally and robustly capturing all solutions. On the core of the AUGMECON-Py software lies the integrat
Externí odkaz:
https://doaj.org/article/91f20febe5a5486383dedf861b3b5d84
Publikováno v:
Energies, Vol 14, Iss 14, p 4341 (2021)
Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have sta
Externí odkaz:
https://doaj.org/article/fad930648ee145888315cdfe323cd36d
Autor:
Natasha Frilingou, Georgios Xexakis, Konstantinos Koasidis, Alexandros Nikas, Lorenza Campagnolo, Elisa Delpiazzo, Alessandro Chiodi, Maurizio Gargiulo, Ben McWilliams, Themistoklis Koutsellis, Haris Doukas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d00cdbfd7aa79d93726a9ce4d0f2f1
https://hdl.handle.net/10278/5012323
https://hdl.handle.net/10278/5012323
Autor:
Elissaios Sarmas, Themistoklis Koutsellis, Christopher Ververidis, Thomas Papapolyzos, Stylianos Choumas, Anastasios Bitsikas, Haris Doukas
Publikováno v:
2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA).
Energy Efficiency projects are often fragmented, of high transaction costs, and fall below the minimum value that many private financial institutions are willing to consider. The availability of comparable, anonymised historical data pooled from majo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87a8de9ab5d41306f44afacf58b7d860
Publikováno v:
Energies, Vol 14, Iss 4341, p 4341 (2021)
Energies; Volume 14; Issue 14; Pages: 4341
Energies; Volume 14; Issue 14; Pages: 4341
Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have sta
Publikováno v:
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg. 6
For many data-driven reliability problems, the population is not homogeneous; i.e., its statistics are not described by a unimodal distribution. Also, the interval of observation may not be long enough to capture the failure statistics. A limited fai
Autor:
Mohammad Hijawi, Themistoklis Koutsellis, Matthew P. Castanier, Zissimos P. Mourelatos, Huairui Guo
Publikováno v:
SAE International Journal of Materials and Manufacturing. 10:264-273
Publikováno v:
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg. 5
The reliability of repairable systems is important for many engineering applications such as warranty forecasting, maintenance strategies, and durability, among others. A generalized renewal process (GRP) approach, considering the effectiveness of re