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Listar por palabra clave "Clustering algorithms"

Mostrando ítems 1-8 de 8

A Novel Shortcut Addition Algorithm With Particle Swarm for Multisink Internet of Things

Qiu, Tie; Li, Bolun; Zhou, Xiaobo; Song, Houbing; Lee, Ivan; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2020-05)

[EN] The Internet of Things integrates a large number of distributed nodes to collect or transmit data. When the network scale increases, individuals use multiple sink nodes to construct the network. This increases the ...
AI-enabled autonomous drones for fast climate change crisis assessment

Hernández, Daniel; Cano, Juan-Carlos; Silla, Federico; Tavares De Araujo Cesariny Calafate, Carlos Miguel; Cecilia-Canales, José María (Institute of Electrical and Electronics Engineers, 2022-05-15)

[EN] Climate change is one of the greatest challenges for modern societies. Its consequences, often associated with extreme events, have dramatic results worldwide. New synergies between different disciplines, including ...
Distribution of Road Hazard Warning Messages to Distant Vehicles in Intelligent Transport Systems

Calabuig Soler, Daniel; Martín-Sacristán, David; Monserrat del Río, Jose Francisco; Botsov, Mladen; Gozálvez Serrano, David (Institute of Electrical and Electronics Engineers, 2018)

[EN] The efficient distribution of intelligent transport system (ITS) messages is fundamental for the deployment and acceptance of ITS applications by mobile network operators and the automotive industry. In particular, ...
Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms

Cecilia-Canales, José María; Cano, Juan-Carlos; Morales-García, Juan; Llanes, Antonio; Imbernón, Baldomero (MDPI AG, 2020-11)

[EN] Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is currently considered as "dark data", ...
Evaluation of Clustering Algorithms on HPC Platforms

Cebrian, Juan M.; Imbernón, Baldomero; Soto, Jesús; Cecilia-Canales, José María (MDPI AG, 2021-09)

[EN] Clustering algorithms are one of the most widely used kernels to generate knowledge from large datasets. These algorithms group a set of data elements (i.e., images, points, patterns, etc.) into clusters to identify ...
Geometrical codification for clustering mixed categorical and numerical databases

Barceló Rico, Fátima; Diez, José-Luís (SPRINGER, 2012)

[EN] This paper presents an alternative to cluster mixed databases. The main idea is to propose a general method to cluster mixed data sets, which is not very complex and still can reach similar levels of performance of ...
La capacidad hidráulica en las redes de agua potable y su influencia en el proceso de sectorización

Martins Alves, Carlos (Universitat Politècnica de València, 2021-01-21)

[ES] La sectorización en sectores hidrométricos de las redes de abastecimiento de agua potable ha sido, a lo largo de los últimos años, una de las técnicas más empleadas para ubicar y controlar las fugas. Esto es de vital ...
Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks

Ren, Zhenwen; Mukherjee, Mithun; Bennis, Mehdi; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2021-07)

[EN] Next-generation wireless networks are witnessing an increasing number of clustering applications, and produce a large amount of non-linear and unlabeled data. In some degree, single kernel methods face the challenging ...