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Martin Hauer, Sascha Hammes, Philipp Zech, David Geisler-Moroder, Daniel Plörer, Josef Miller, Vincent van Karsbergen and Rainer Pfluger
In the architecture, engineering, and construction industries, the integration of Building Information Modeling (BIM) has become instrumental in shaping the design and commissioning of smart buildings. At the center of this development is the pursuit of ...
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Martin Alejandro Gonzalez Jimenez, Andriarimina Daniel Rakotonirina, Bruno Sainte-Rose and David James Cox
The Ocean Cleanup introduces a Digital Twin (DT) describing the cleanup systems made of netting to extract marine litter from our oceans. It consists of two wings forming a ?U-shape? and a retention zone. During operation, the system is towed and drag-dr...
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David Solís-Martín, Juan Galán-Páez and Joaquín Borrego-Díaz
The aim of predictive maintenance, within the field of prognostics and health management (PHM), is to identify and anticipate potential issues in the equipment before these become serious. The main challenge to be addressed is to assess the amount of tim...
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David Krcmar, Tibor Kovacs, Matej Molnar, Kamila Hodasova and Martin Zatlakovic
This research delves into the potential thermal effects on underground water systems caused by the use of thermal technologies involving extraction and injection wells. We developed a unique approach that combines straightforward calculations with comput...
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Saroj Maharjan, Antoine Poujol, Christophe Martin, Gabriele Ameri, David Baumont, Kiana Hashemi, Yacine Benjelloun and Hussein Shible
Nepal is one of the most seismically active regions in the world, as highlighted by the recent devastating 2015, Mw~7.8 Gorkha earthquake, and a robust assessment of seismic hazard is paramount for the design of earthquake-resistant structures. In this s...
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Miguel Ruiz Cabello, Antonio J. Martín Valverde, Borja Plaza, Malte Frövel, David Poyatos, Amelia R. Bretones, Alberto G. Bravo and Salvador G. García
Efficiently modeling thin features using the finite-difference time-domain (FDTD) method involves a considerable reduction in the spatial mesh size. However, in real-world scenarios, such reductions can lead to unaffordable memory and CPU requirements. I...
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María Jesús Martín-Mateos, Lucía León, Alberto Ortiz, David Tejerina, Carmen Barraso, María Montaña López-Parra, Palmira Curbelo and Susana García-Torres
This research contributes to the development of a technological strategy to offer the consumer lamb burgers with pecan nuts as an enhanced product. Extra nutritional value, a healthy fatty acids profile and the use of antioxidants as preservatives can be...
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Manuel Bullejos, David Cabezas, Manuel Martín-Martín and Francisco Javier Alcalá
The k-nearest neighbors (KNN) algorithm is a non-parametric supervised machine learning classifier; which uses proximity and similarity to make classifications or predictions about the grouping of an individual data point. This ability makes the KNN algo...
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David Trok?iar, Lenka Havelková and Martin Hanus
Maps are not just powerful tools to communicate spatial information; they also have significant educational potential to develop students? knowledge, skills, and thinking. To fully exploit this potential, deep research is needed into map-use processes co...
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Jeff B. Langman, Julianna Martin, Ethan Gaddy, Jan Boll and David Behrens
A snowpack?s d2H and d18O values evolve with snowfall, sublimation, evaporation, and melt, which produces temporally variable snowpack, snowmelt, and runoff isotope signals. As a snowpack ages, the relatively depleted d2H and d18O values of snow will bec...
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