Listar LCC - Artículos por título
Mostrando ítems 17-36 de 66
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Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
(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
(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
(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
(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
(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 ... -
Ensemble ellipse fitting by spatial median consensus
(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
(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 ... -
Estimación del estado de salud de la batería de iones de litio basada en características con redes neuronales artificiales
(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
(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
(2014-10-03)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
(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
(2014-09-29)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 ... -
FIMED: Flexible management of biomedical data
(Elsevier, 2021-11)Background and objectives: In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design ... -
Fitness function distributions over generalized search neighborhoods in the q-ary hypercube
(2014-10-03)The frequency distribution of a fitness function over regions of its domain is an important quantity for understanding the behavior of algorithms that employ randomized sampling to search the function. In general, exactly ... -
Fotogrametría y modelado 3D: un caso práctico para la difusión del patrimonio y su promoción turística
(Facultad de Turismo, 2012) -
Graph grammars with string-regulated rewriting
(Elsevier, 2011)Multicellular organisms undergo a complex developmental process, orchestrated by the genetic information in their cells, in order to form a newborn individual from a fertilized egg. This complex process, not completely ... -
How do preschoolers interact with peers? Characterising child and group behaviour in games with tangible interfaces in school
(Elsevier, 2022-09)Learning social skills is an important part of the socialisation process of children, which should occur at school, at home and in any place where children live. There are very few studies on social interaction and ... -
Improved detection of small objects in road network sequences using CNN and super resolution
(2021)The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ... -
Kafka-ML: Connecting the data stream with ML/AI frameworks
(Elsevier, 2022-01-01)Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ...