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Akademický článek
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Publikováno v:
Clean Technologies and Recycling, Vol 2, Iss 3, Pp 165-169 (2022)
The re-use of construction and demolition wastes (CDW) in concrete production gathers increasing interest in order to minimize the environmental footprint of the building industry. However, although its positive environmental impact seems evident, am
Externí odkaz:
https://doaj.org/article/20423989c5d343a9accdfd7cbb7be98f
Autor:
Alexandra Vrachni, Angeliki Christogerou, George A. Thomopoulos, Constantina Marazioti, George N. Angelopoulos
Publikováno v:
Pollutants, Vol 2, Iss 3, Pp 347-362 (2022)
Climate change has already had observable effects due to greenhouse gases (GHG) produced by human activities. Over the years, this becomes more evident as the concentration of GHG released in the atmosphere is concerningly increased as does the earth
Externí odkaz:
https://doaj.org/article/02093d6e8cc645fdaf573cd52420ccd6
Publikováno v:
Endocrinology, Diabetes & Metabolism Case Reports, Vol 1, Iss 1, Pp 1-4 (2020)
HAIR-AN syndrome, the coexistence of Hirsutism, Insulin Resistance (IR) and Acanthosis Nigricans, constitutes a rare nosologic entity. It is characterized from clinical and biochemical hyperandrogenism accompanied with severe insulin resistance, chro
Externí odkaz:
https://doaj.org/article/282d41ba28d8480ea8842ca722817347
Publikováno v:
Foundations and Trends® in Machine Learning. 16:494-591
Autor:
Maria D. Kamitsou, Elias Kostakopoulos, Dimitra G. Kanellopoulou, Vincent Hallet, Petrica Petrica, Angeliki Christogerou, George N. Angelopoulos
Publikováno v:
Materials Proceedings, Vol 5, Iss 1, p 106 (2022)
Yeelimite is one of the main components of SulfoBelite (SB) and Calcium SulfoAluminate cements which are promising low carbon alternatives to Portland ones. In this study, stoichiometric yeelimite, obtained at different temperatures, was characterize
Externí odkaz:
https://doaj.org/article/489ca4012081414bacdef3853593f59c
Akademický článek
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Autor:
N. Voudouris, G. N. Angelopoulos
Publikováno v:
Proceeding of Progress in Plasma Processing of Materials 1997.
Autor:
Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan
Publikováno v:
Proceedings of the National Academy of Sciences. 119
Many applications of machine-learning methods involve an iterative protocol in which data are collected, a model is trained, and then outputs of that model are used to choose what data to consider next. For example, a data-driven approach for designi
This book is about conformal prediction and related inferential techniques that build on permutation tests and exchangeability. These techniques are useful in a diverse array of tasks, including hypothesis testing and providing uncertainty quantifica
Externí odkaz:
http://arxiv.org/abs/2411.11824