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Jose Albors-Garrigos, Antonio Collado
Research Question: This article clarifies the role of clusters in industry agglomeration efficiency as well as the role that public and private agents play in their efficiency. Motivation: The automobile industry in Spain is an exception to the industria...
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Ana García Serrano, Jorge Horcas Pulido,, Fernando López Ostenero
Pág. 26 - 36
In this paper it is presented a study on verbs in Spanish and it?s potential to display images from the Wikipedia (Wikimedia). It is designed and developed an Information Retrieval model based on linguistic structures of verbs and an environment that all...
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Eike Blomeier, Sebastian Schmidt and Bernd Resch
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro...
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Kjetil Nordby, Jon Erling Fauske, Etienne Gernez and Steven Mallam
Augmented reality (AR) technology has emerged as a promising solution that can potentially reduce head-down time and increase situational awareness during navigation operations. It is also useful for remote operation centers where video feeds from remote...
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Shreyas M. Guruprasad and Benjamin Leiding
The digital transformation of apiculture initially encompasses Internet of Things (IoT) systems, incorporating sensor technologies to capture and transmit bee-centric data. Subsequently, data analysis assumes a vital role by establishing correlations bet...
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Martin Gierus, Heba Sabry Attia Salama, Marc Lösche, Antje Herrmann and Friedhelm Taube
Precise information about carbohydrates and proteins in relation to their utilization in the rumen is useful for the breeding purposes of perennial ryegrass cultivars used for animal nutrition. The objective of the current study was to evaluate 20 diploi...
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Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni and Italo Zoppis
Solving combinatorial problems on complex networks represents a primary issue which, on a large scale, requires the use of heuristics and approximate algorithms. Recently, neural methods have been proposed in this context to find feasible solutions for r...
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Andra Sandu, Ioana Ioana?, Camelia Delcea, Margareta-Stela Florescu and Liviu-Adrian Cotfas
Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in the present-day environment of technology and information, which greatly affects the individuals who are vulnerable and easily in...
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Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
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J. Javier Samper-Zapater, Julián Gutiérrez-Moret, Jose Macario Rocha, Juan José Martinez-Durá and Vicente R. Tomás
The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data pl...
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