Listar LCC - Artículos por título
Mostrando ítems 30-49 de 106
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Data driven tools to assess the location of photovoltaic facilities in urban areas
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José
; Ferrer Cuesta, Marta; Mora-López, Llanos (Elsevier, 2022-10-01)
Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ... -
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
Galeano-Brajones, Jesús; Luna-Valero, Francisco; Carmona Murillo, Javier; Zapata Cano, Pablo Helio; Valenzuela-Valdés, Juan Francisco (Elsevier, 2023)
The massive deployment of base stations is one of the key pillars of the fifth generation (5G) of mobile communications. However, this network densification entails high energy consumption that must be addressed to enhance ... -
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
Munoz, Daniel-Jesus; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2023)
Emergent application domains (e.g., Edge Computing/Cloud/B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large Variability Models (VMs), leading to large ... -
Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
Morell Martínez, José Ángel; Alba-Torres, Enrique (Elsevier, 2022)
The number of devices, from smartphones to IoT hardware, interconnected via the Internet is growing all the time. These devices produce a large amount of data that cannot be analyzed in any data center or stored in the ... -
Efficient anytime algorithms to solve the bi-objective Next Release Problem
Domínguez-Ríos, Miguel Ángel; Chicano-García, José-Francisco; Alba-Torres, Enrique; Del Águila, Isabel María; Del Sagrado, José (2019-06-27)
The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ... -
Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization
Chicano-García, José-Francisco; Alba-Torres, Enrique (2014-10-01)
Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... -
Elementary landscape decomposition of the frequency assignment problem
Chicano-García, José-Francisco; Whitley, L. Darrell; Alba-Torres, Enrique; Luna, Francisco (2014-09-30)
The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... -
Embryomorphic Engineering: Emergent innovation through evolutionary development
(2014-01-07)Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... -
Emergent diversity in an open-ended evolving virtual community
Fernández Rodríguez, José David; Lobo Fernández, Daniel; Martín Reyes, Gema María; Doursat, René; Vico-Vela, Francisco José (MIT Press, 2012)
Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... -
Empirical analysis of the tool support for software product lines
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Ensemble ellipse fitting by spatial median consensus
Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Blázquez-Parra, Elidia Beatriz; Ladrón-de-Guevara-Muñoz, María del Carmen; De-Cózar-Macías, Óscar (2021)
Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ... -
Ensemble methods for meningitis aetiology diagnosis
Guzmán-de-los-Riscos, Eduardo Francisco; Belmonte-Martínez, María Victoria; Lelis, Viviane M. (Wiley, 2022-03-18)
In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2023)
Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
Estimación del estado de salud de la batería de iones de litio basada en características con redes neuronales artificiales
Driscoll, Lewis; De-la-Torre-Fazio, Sebastián Bienvenido; Gómez-Ruiz, José Antonio (Elsevier, 2022-06)
Precise online lithium-ion battery state of health estimation is critical for the correct operation and management of battery-based energy storage systems such as microgrids and electric vehicles. However, in such applications ... -
Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks
Lobo Fernández, Daniel; Vico-Vela, Francisco José (Elsevier, 2010)
The emergence of novelties, as a generator of diversity, in the form and function of the organisms have long puzzled biologists. The study of the developmental process and the anatomical properties of an organism provides ... -
Evolutionary algorithms for the multi-objective test data generation problem
Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ... -
Evolutionary development of tensegrity structures
Lobo Fernández, Daniel; Vico-Vela, Francisco José (Elsevier, 2010)
Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional ... -
Exact computation of the expectation surfaces for uniform crossover along with bit-flip mutation
Uniform crossover and bit-flip mutation are two popular operators used in genetic algorithms to generate new solutions in an iteration of the algorithm when the solutions are represented by binary strings. We use the Walsh ... -
Explainable clinical coding with in-domain adapted transformers
López-García, Guillermo; Jerez-Aragonés, José Manuel; Ribelles, Nuria; Alba-Conejo, Emilio; Veredas-Navarro, Francisco Javier (Elsevier, 2023)
Background and Objective: Automatic clinical coding is a crucial task in the process of extracting relevant in-formation from unstructured medical documents contained in Electronic Health Records (EHR). However, most of ... -
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction.
Cámara-Moreno, Javier; Wohlrab, Rebekka; Garlan, David; Schmerl, Bradley (Elsevier, 2022-12-19)
In software design, guaranteeing the correctness of run-time system behavior while achieving an acceptable balance among multiple quality attributes remains a challenging problem. Moreover, providing guarantees about the ...