Listar ITIS - Artículos por título
Mostrando ítems 45-64 de 88
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Light commodity devices for building vehicular ad hoc networks: An experimental study.
Toutouh-el-Alamin, Jamal
; Alba-Torres, Enrique (Elsevier, 2015-10-13)
Vehicular communication networks represent both an opportunity and a challenge for providing smart mobility services by using a hybrid solution that relies on cellular connectivity and short range communications. The ... -
Live migration of trans-cloud applications.
Carrasco Mora, José Manuel; Durán-Muñoz, Francisco Javier; Pimentel-Sánchez, Ernesto (Elsevier, 2020)
The development of applications independent of the cloud providers where they are going to be deployed is still an open issue. In fact, cloud agnostic software development presents important challenges to be solved. One ... -
Location-aware scalable service composition.
Pozas García, Nicolás; Durán-Muñoz, Francisco Javier; Moreno Berrocal, Katia; Pimentel-Sánchez, Ernesto (Wiley, 2023)
The problem of service composition is the process of assigning resources to services from a pool of available ones in the shortest possible time so that the overall quality of service is maximized. This article provides ... -
Managing Reputation in Collaborative Social Computing Applications
Moreno, Nathalie; Perez-Vereda, Alejandro; Vallecillo-Moreno, Antonio Jesús (AITO, 2022-06)
Reputation is a fundamental concept for making decisions about service providers. However, managing reputation in peer-to-peer distributed applications is not easy due to the lack of a central server that can compute this ... -
Memetic collaborative approaches for finding balanced incomplete block designs
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Elsevier, 2020)
The balanced incomplete block design (BIBD) problem is a difficult combinatorial problem with a large number of symmetries, which add complexity to its resolution. In this paper, we propose a dual (integer) problem ... -
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2021)
The template design problem (TDP) is a hard combinatorial problem with a high number of symmetries which makes solving it more complicated. A number of techniques have been proposed in the literature to optimise its ... -
Model Transformation Testing and Debugging: A Survey
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ... -
Model-agnostic local explanation: Multi-objective genetic algorithm explainer
Nematzadeh, Hossein; García-Nieto, José Manuel; Hurtado-Requena, Sandro José; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024)
Late detection of plant diseases leads to irreparable losses for farmers, threatening global food security, economic stability, and environmental sustainability. This research introduces the Multi-Objective Genetic Algorithm ... -
Modelling Digital Avatars: a tuple space approach
The development of the Internet of Things (IoT) came with the manufacturing of a huge amount of smart things equipped with sensors for making them aware of their environment, and with network connection for allowing remote ... -
NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions.
Ballesteros-Gómez, Joaquín; Fernández-Carmona, Manuel; Urdiales-García, Amalia Cristina (2023-11-26)
The goal of using a rollator is to provide physical stability, support, and increase independence while walking or performing daily activities. The decision to use a rollator is often made in consultation with healthcare ... -
NK Hybrid Genetic Algorithm for Clustering
The NK hybrid genetic algorithm for clustering is proposed in this paper. In order to evaluate the solutions, the hybrid algorithm uses the NK clustering validation criterion 2 (NKCV2). NKCV2 uses information about the ... -
NORA: Scalable OWL reasoner based on NoSQL databases and Apache Spark.
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (Wiley, 2023-09-04)
Reasoning is the process of inferring new knowledge and identifying inconsistencies within ontologies. Traditional techniques often prove inadequate when reasoning over large Knowledge Bases containing millions or billions ... -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
(SpringerLink, 2023-05-23) -
OneSpace: Detecting cross-language clones by learning a common embedding space
Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2024)
Identifying clone code fragments across different languages can enhance the productivity of software developers in several ways. However, the clone detection task is often studied in the context of a single language and ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
García Sánchez, Pablo; Tonda, Alberto; Fernández-Leiva, Antonio José; Cotta-Porras, Carlos (Elsevier, 2020)
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ... -
Parallel multi-objective metaheuristics for smart communications in vehicular networks.
Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Springer Nature, 2015)
This article analyzes the use of two parallel multi-objective soft computing algorithms to automatically search for high-quality settings of the Ad hoc On Demand Vector routing protocol for vehicular networks. These methods ... -
Preference-Based Evolutionary Multiobjective Optimization Through the Use of Reservation and Aspiration Points
González-Gallardo, Sandra; Saborido Infantes, Rubén; Ruiz-Mora, Ana Belén; Luque-Gallego, Mariano (IEEE (Institute of Electrical and Electronics Engineers), 2021)
Preference-based Evolutionary Multiobjective Optimization (EMO) algorithms approximate the region of interest (ROI) of the Pareto optimal front defined by the preferences of a decision maker (DM). Here, we propose a ... -
Random Error Sampling-based Recurrent Neural Network Architecture Optimization.
Camero Unzueta, Andres; Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Elsevier, 2020-09-15)
Recurrent neural networks are good at solving prediction problems. However, finding a network that suits a problem is quite hard because their performance is strongly affected by their architecture configuration. Automatic ... -
Real-Time Crowd Counting based on wearable Ephemeral IDs
Morales, Daniel; Agudo-Ruiz, Isaac; López-Muñoz, Francisco Javier (SCITEPRESS, 2022)
Crowd Counting is a very interesting problem aiming at counting people typically based on density averages and/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments with high ...