Listar ITIS - Artículos por título
Mostrando ítems 15-34 de 84
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BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility.
Toutouh-el-Alamin, Jamal
; Arellano-Verdejo, Javier; Alba-Torres, Enrique (MDPI, 2018-11-24)
This article develops the design, installation, exploitation, and final utilization of intelligent techniques, hardware, and software for understanding mobility in a modern city. We focus on a smart-campus initiative in ... -
Business processes resource management using rewriting logic and deep-learning-based predictive monitoring
Durán-Muñoz, Francisco Javier; Pozas, Nicolás; Rocha, Camilo (Elsevier, 2024)
A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource ... -
Clinical Considerations Derived From the Administration of Melatonin to Children With Sleep Disorders
Checa-Ros, Ana; Muñoz-Gallego, Antonio Jesús; Muñoz-Gallego, María de los Ángeles; Molina-Carballo, Antonio; Narbona-Galdó, Susana; Jerez-Calero, Antonio; Augustín-Morales, María del Carmen; Muñoz-Hoyos, Antonio[et al.] (Elsevier, 2019)
El artículo analiza el uso de la melatonina en el tratamiento de trastornos del sueño en niños. A pesar de la abundante investigación sobre la melatonina, aún existen preguntas sin resolver sobre sus patrones de secreción ... -
Continuous QoS-compliant Orchestration in the Cloud-Edge Continuum.
Bisicchia, Giuseppe; Forti, Stefano; Pimentel-Sánchez, Ernesto; Brogi, Antonio (Wiley, 2024)
The problem of managing multi-service applications on top of Cloud-Edge networks in a quality of service (QoS)-aware manner has been thoroughly studied in recent years from a decision-making perspective. However, only a ... -
Dealing with Belief Uncertainty in Domain Models
Burgueño-Caballero, Lola; Muñoz, Paula; Clarisó, Robert; Cabot, Jordi; Gérard, Sébastien; Vallecillo-Moreno, Antonio Jesús[et al.] (ACM, 2023)
There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness, or inconsistencies, ... -
Deep Memetic Models for Combinatorial Optimization Problems: Application to the Tool Switching Problem
Amaya, Jhon Edgar; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José; García Sánchez, Pablo (Springer, 2020)
Memetic algorithms are techniques that orchestrate the interplay between population-based and trajectory-based algorithmic components. In particular, some memetic models can be regarded under this broad interpretation as ... -
Developers’Need forthe Rationale of CodeCommits: An In-breadth andIn-depth Study
Al Safwan, Khadijah; Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2022)
Communicating the rationale behind decisions is essential for the success of software engineering projects. In particular, understanding the rationale of code commits is an important and often difficult task. Although the ... -
Dynastic Potential Crossover Operator
An optimal recombination operator for two parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property). If the solutions are bit strings, ... -
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
Morales, Rodrigo; Saborido Infantes, Rubén; Khomh, Foutse; Chicano-García, José-Francisco; Antoniol, Giuliano (IEEE, 2018)
The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Effective anytime algorithm for multiobjective combinatorial optimization problems
Domínguez-Ríos, Miguel Ángel; Alba-Torres, Enrique; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2021-07)
In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common that not all the efficient solutions can be computed in a short ... -
Efficient execution of ATL model transformations using static analysis and parallelism
Sánchez Cuadrado, Jesús; Burgueño-Caballero, Lola; Wimmer, Manuel; Vallecillo-Moreno, Antonio Jesús (2020)
Although model transformations are considered to be the heart and soul of Model Driven Engineering (MDE), there are still several challenges that need to be addressed to unleash their full potential in industrial settings. ... -
Enabling DSRC and C-V2X Integrated Hybrid Vehicular Networks: Architecture and Protocol
Hameed Mir, Zeeshan; Toutouh-el-Alamin, Jamal; Filali, Fethi; Ko, Young-Bae (IEEE, 2020-10-05)
Emerging Vehicle-to-Everything (V2X) applications such as Advanced Driver Assistance Systems (ADAS) and Connected and Autonomous Driving (CAD) requires an excessive amount of data by vehicular sensors, collected, processed, ... -
Engineering software for next-generation networks in a sustainable way.
Fuentes-Fernández, Lidia (2024)
The virtualization and softwarization of network functions is the networking industry's latest achievement. Software-Defined Networks (SDN) and Network Function Virtualization (NFV) propose novel software architectures and ... -
Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios.
Rossit, Diego Gabriel; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio (Elsevier, 2020-03-15)
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems. This ... -
Exploring the interaction of design variability and stochastic operational uncertainties in software-intensive systems through the lens of modeling
Cámara-Moreno, Javier (Springer, 2024)
In software-intensive systems, navigating the complexities that emerge from the interaction of design variability and stochastic operational uncertainties presents a daunting challenge. This paper delves into the dynamics ... -
Expressing Confidence in Models and in Model Transformation Elements.
Burgueño-Caballero, Lola; Bertoa, Manuel F.; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2018-10-14)
The expression and management of uncertainty, both in the information and in the operations that manipulate it, is a critical issue in those systems that work with physical environments. Measurement uncertainty can be due ... -
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2019-11)
The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (2012-04-27)
This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when ... -
FLEXTORY: Flexible Software Factory of IoT Data Consumers.
López Gómez, Rafael; Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (MDPI, 2024-04-16)
The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications ...