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Javier Aránguiz Pinto
Pág. Pág. 60 - 73
A partir de la metáfora de las esculturas pintadas y del diorama humano como imagen de obra pública, se presenta un catastro de proyectos recientes, verificando si las observaciones anteriores[2] demuestran continuidad en esta etapa de resolución de la c...
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Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut...
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Tiago Tamagusko and Adelino Ferreira
Timely maintenance of road pavements is crucial to ensure optimal performance. The accurate prediction of trends in pavement defects enables more efficient allocation of funds, leading to a safer, higher-quality road network. This article systematically ...
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Ana Quijano, Jose L. Hernández, Pierre Nouaille, Mikko Virtanen, Beatriz Sánchez-Sarachu, Francesc Pardo-Bosch and Jörg Knieilng
Sustainability is pivotal in the urban transformation strategy in order to reach more resource-efficient, resilient and smarter cities. The goal of being a sustainable city should drive the decisions for city interventions, and measuring city progress is...
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Francesco Pirotti, Marco Piragnolo, Marika D?Agostini and Raffaele Cavalli
The post-pandemic era has raised awareness on the importance of physical and psychological well-being for decreasing the vulnerability of both individuals and populations. Citizens in urban areas are subject to numerous stress factors which can be mitiga...
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Oriol Borrás-Gené, Raquel Montes Díez and Almudena Macías-Guillén
Teachers often need to adapt their teaching methodologies in order to overcome possible limitations and ensure that education does not lose quality in the face of different scenarios that may arise in the educational environment, which are not always the...
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Anna Karen Gárate-Escamilla, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín and José Carlos Ortiz-Bayliss
Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has increase...
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Nitin Kaushal, Suresh Babu, Arjit Mishra, Rajesh Bajpai, Phanish Kumar Sinha, Rama Kant Arya, David Tickner and Conor Linstead
The pressure on freshwater resources is leading to diminishing flows in some of the critical river systems across the globe. India is no exception, and this is mainly because of water withdrawal for irrigation, which is often to the tune of 70% to 80% of...
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Rounaq Basu, Roberto Ponce-Lopez, Joseph Ferreira
Pág. 303 - 323
One of the major critiques of land use-transport interaction (LUTI) models over the ages has been their over-dependence on individualized software and context. In an effort to address some of these concerns, this study proposes a framework to construct "...
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Marçal Mora-Cantallops, Salvador Sánchez-Alonso, Elena García-Barriocanal and Miguel-Angel Sicilia
Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related to the need to maintain a complete account of the provenance of data, processes, and artifacts involved in the production of an AI model. Traceability in A...
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