Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Touloupou, P"'
Validating the Blockchain Benchmarking Framework Through Controlled Deployments of XRPL and Ethereum
Publikováno v:
IEEE Access, Vol 12, Pp 22264-22277 (2024)
In the evolving domain of blockchain, a critical challenge lies in the performance analysis of blockchains under controlled test conditions. This paper focuses on validating the Blockchain Benchmarking Framework (BBF), developed for the evaluation of
Externí odkaz:
https://doaj.org/article/c56a0b4aba97469cbb2e69b70960c4f2
Infectious diseases remain one of the major causes of human mortality and suffering. Mathematical models have been established as an important tool for capturing the features that drive the spread of the disease, predicting the progression of an epid
Externí odkaz:
http://arxiv.org/abs/2010.12383
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 99-113 (2022)
The adoption of blockchain technology is emerging as a promising approach in managing decentralized local energy markets (LEM). In this study we analyze the issues related to the deployment of a blockchain-based LEM on devices as much as possible sim
Externí odkaz:
https://doaj.org/article/4ae72161f59e4d1ea688f7e0ae026cde
Publikováno v:
IEEE Access, Vol 10, Pp 70630-70644 (2022)
Blockchain is a disruptive technology that focuses on the safe exchange of data between several distributed applications. Despite its widespread adoption, there are areas that require further research towards the understanding of their performance ch
Externí odkaz:
https://doaj.org/article/699cfb85fc09434ca26072e4181298ec
Akademický článek
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Akademický článek
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Autor:
Touloupou, Panayiota, Alzahrani, Naif, Neal, Peter, Spencer, Simon E. F., McKinley, Trevelyan J.
Selecting between competing statistical models is a challenging problem especially when the competing models are non-nested. In this paper we offer a simple solution by devising an algorithm which combines MCMC and importance sampling to obtain compu
Externí odkaz:
http://arxiv.org/abs/1512.04743
Akademický článek
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Autor:
Argyro Mavrogiorgou, Athanasios Kiourtis, Marios Touloupou, Evgenia Kapassa, Dimosthenis Kyriazis
Publikováno v:
Emerging Science Journal, Vol 3, Iss 2, Pp 64-77 (2019)
The Healthcare 4.0 era is surrounded by challenges varying from the Internet of Medical Things (IoMT) devices’ data collection, integration and interpretation. Several techniques have been developed that however do not propose solutions that can be
Externí odkaz:
https://doaj.org/article/365df1a21ad741119650ad5ad8ace775
Autor:
Joaquín M. Prada, Panayiota Touloupou, Moses Adriko, Edridah M. Tukahebwa, Poppy H. L. Lamberton, T. Déirdre Hollingsworth
Publikováno v:
Parasites & Vectors, Vol 11, Iss 1, Pp 1-8 (2018)
Abstract Background Schistosomiasis is a major socio-economic and public health problem in many sub-Saharan African countries. After large mass drug administration (MDA) campaigns, prevalence of infection rapidly returns to pre-treatment levels. The
Externí odkaz:
https://doaj.org/article/7bddf132fbad4124a9863bcd9d027cbc