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Fernando A. N. Silva, João M. P. Q. Delgado, Rosely S. Cavalcanti, António C. Azevedo, Ana S. Guimarães and Antonio G. B. Lima
The work presents the results of an experimental campaign carried out on concrete elements in order to investigate the potential of using artificial neural networks (ANNs) to estimate the compressive strength based on relevant parameters, such as the wat...
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Deryc T. Painter, Shade T. Shutters and Elizabeth Wentz
The COVID-19 pandemic of 2020 fundamentally changed the way we interact with and engage in commerce. Social distancing and stay-at-home orders leave businesses and cities wondering how future economic activity moves forward. The reduction in face-to-face...
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Mohamed Khachman, Catherine Morency and Francesco Ciari
Microsimulation-based models, increasingly used in the transportation domain, require richer datasets than traditional models. Precisely enumerated population data being usually unavailable, transportation researchers generate their statistical equivalen...
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Christina Koutroumpina, Spyros Sioutas, Stelios Koutroubinas and Kostas Tsichlas
The problem of energy disaggregation is the separation of an aggregate energy signal into the consumption of individual appliances in a household. This is useful, since the goal of energy efficiency at the household level can be achieved through energy-s...
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Domenico Vizzari, Emmanuel Chailleux, Stéphane Lavaud, Eric Gennesseaux and Stephane Bouron
Solar roads are transportation infrastructures able both to generate electricity thanks to solar cells placed under a semi-transparent layer and to ensure heavy traffic circulation. In this paper, a novel transparent top layer made of glass aggregates bo...
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