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Mostrando ítems 31-40 de 55
Artículo
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach
(Elsevier, 2021)
Seismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic hazard calculations, particularly in regions with moderate or low to moderate seismicity. Seismic ...
Artículo
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
(MDPI, 2022)
Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the ...
Artículo
A Monte Carlo tree search conceptual framework for feature model analyses
(ElSevier, 2023-01)
Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0 expose highly variable systems with colossal configuration spaces. The automated analysis of those systems’ variability has often ...
Artículo
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)
This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. From a primary infected individual (patient zero), the coronavirus rapidly infects new victims, ...
Artículo
DirectDebug: Automated Testing and Debugging of Feature Models
(Cornell University, 2021)
Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logical representation and thus allow different ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Deep Learning Techniques to Improve the Performance of Olive Oil Classification
(Frontiers Editorial, 2020)
The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, there is an important interest to design novel strategies based on the use of Gas Chromatography ...
Artículo
Hybrid agent-based methodology for testing response protocols
(Elsevier, 2021)
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible ...
Artículo
LEAPME: learning-based property matching with embeddings
(Elsevier, 2022)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
Artículo
Energy efficient adaptation engines for android applications
(Elsevier, 2020)
Context The energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible ...