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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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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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Zbigniew Jarosz, Magdalena Kaplan, Kamila Klimek, Barbara Dybek, Marcin Herkowiak and Grzegorz Walowski
This article presents examples of cogeneration systems, which are standard equipment for biogas installations, based on the production of heat and electricity. It has been shown that in the case of microgeneration, ease of servicing and low installation ...
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Federico Ricci, Luca Petrucci and Francesco Mariani
Currently, machine learning (ML) technologies are widely employed in the automotive field for determining physical quantities thanks to their ability to ensure lower computational costs and faster operations than traditional methods. Within this context,...
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Isabella Gagliardi and Maria Teresa Artese
When integrating data from different sources, there are problems of synonymy, different languages, and concepts of different granularity. This paper proposes a simple yet effective approach to evaluate the semantic similarity of short texts, especially k...
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Juergen Mangler, Joscha Grüger, Lukas Malburg, Matthias Ehrendorfer, Yannis Bertrand, Janik-Vasily Benzin, Stefanie Rinderle-Ma, Estefania Serral Asensio and Ralph Bergmann
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes...
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Kevin Herrmann, Stefan Plappert, Paul Christoph Gembarski and Roland Lachmayer
The design of components suitable for manufacturing requires the application of knowledge about the manufacturing process chain with which the component is to be manufactured. This article presents an assistance system for decision support in the context...
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Mohammud Hanif Dewan, Radu Godina, M Rezaul Karim Chowdhury, Che Wan Mohd Noor, Wan Mohd Norsani Wan Nik and Mustafa Man
In the domain of Marine Education and Training (MET), simulators have been utilized for the purpose of training seafarers in the norms for avoiding collisions or for developing the skill of ship manoeuvrability, and even the operation of machinery in the...
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Dimitris Gkoulis, Cleopatra Bardaki, George Kousiouris and Mara Nikolaidou
This paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables...
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Boyi Li, Adu Gong, Longfei Liu, Jing Li, Jinglin Li, Lingling Li, Xiang Pan and Zikun Chen
The Sendai Framework for Disaster Risk Reduction 2015?2030 (SFDRR) proposed seven targets comprising 38 quantified indicators and various sub-indicators to monitor the progress of disaster risk and loss reduction efforts. However, challenges persist rega...
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