Listar Centro de investigación Ada Byron - (CIAB) por fecha de publicación
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Mapping forest condition in Europe: Methodological developments in support to forest biodiversity assessments
(ELSEVIER, 2021-09)Forest condition, biodiversity, and ecosystem services are strongly interlinked. The biodiversity levels depend to a large extent on the integrity, health, and vitality of forests at the same time as losses of forest ... -
Protected Areas and Rural Depopulation in Spain: A Multi-Stakeholder Perceptual Study
Rodriguez-Rodriguez, David; Larrubia-Vargas, Remedios
(IOAP-MPDI, 2022-03-05)
Protected areas (PAs) are thought by some to contribute to local wellbeing and socioeconomic development, whereas for others PAs remain a regulatory burden that hampers rural development. Here, we sought to ascertain the ... -
Protected Area Effectiveness in the Scientific Literature: A Decade-Long Bibliometric Analysis
(IOAP-MPDI, 2022-06-16)Protected areas (PAs) aim to safeguard biodiversity and ecosystem services in the long term. Despite remarkable growth in the area covered by PAs in recent years, biodiversity trends still show worrisome outcomes. Here, ... -
Depth-based reconstruction method for incomplete functional data
(Springer, 2022-09-26)The problem of estimating missing fragments of curves from a functional sample has been widely considered in the literature. However, most reconstruction methods rely on estimating the covariance matrix or the components ... -
Effectiveness of protected areas against land development in coastal areas of the Mediterranean global biodiversity hotspot
(Elsevier, 2022-10)The Mediterranean Basin is a heavily pressured World biodiversity hotspot. Mediterranean coastal areas are especially threatened due to tourism, inland migration and population growth, jeopardizing the remaining natural ... -
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Jiménez-Cordero, María Asunción; Morales-González, Juan Miguel; Pineda-Morente, Salvador (Elsevier, 2022-10-11)
Mixed Integer Linear Programs (MILP) are well known to be NP-hard (Non-deterministic Polynomial-time hard) problems in general. Even though pure optimization-based methods, such as constraint generation, are guaranteed to ... -
An ontology-based secure design framework for graph-based databases
Paneque, Manuel; Roldán-García, María del Mar; Blanco, Carlos; Maté, Alejandro; Rosado, David G.; Trujillo, Juan[et al.] (Elsevier, 2023)
Graph-based databases are concerned with performance and flexibility. Most of the existing approaches used to design secure NoSQL databases are limited to the final implementation stage, and do not involve the design of ... -
Towards a better understanding of time-lags in karst aquifers by combining hydrological analysis tools and dye tracer tests. Application to a binary karst aquifer in southern Spain
Martín-Rodríguez, José Francisco; Mudarra-Martínez, Matías; De la Torre Martínez, Beatriz; Andreo-Navarro, Bartolomé (Elsevier, 2023)
The assessment of the response time of a karst aquifer is an important step towards the development of conceptual models from which tools for water resources planning and management could be applied. The aim of this work ... -
Long-term assessment of the effectiveness of coastal protection regulations in conserving natural habitats in Spain.
(Elsevier, 2023)Spain has undergone rapid socioeconomic development in the past three decades. This has been linked to massive residential and infrastructural development based on a short-term, profitable and resource-intensive consuming ... -
Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2024)
Feature selection in small-sample high-dimensional datasets enhances classification accuracy and reduces computational time for model training. This paper introduces the filter Classification Error Impurity (CEI) as a ... -
MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms
Aldana Martín, José Francisco; Roldán-García, María del Mar; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (Elsevier, 2024-01-23)
The application of semantic technologies, particularly ontologies, in the realm of multi-objective evolutionary algorithms is overlook despite their effectiveness in knowledge representation. In this paper, we introduce ...