Listar Instituto de Tecnología e Ingeniería del Software de la Universidad de Málaga - (ITIS) por tipo "info:eu-repo/semantics/acceptedVersion"
Mostrando ítems 1-13 de 13
-
Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics.
(Elsevier, 2010-08)The emerging field of vehicular ad hoc networks (VANETs) deals with a set of communicating vehicles which are able to spontaneously interconnect without any pre-existing infrastructure. In such kind of networks, it is ... -
Continuous QoS-compliant Orchestration in the Cloud-Edge Continuum.
(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 ... -
Expressing Confidence in Models and in Model Transformation Elements.
(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 ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
(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 ... -
Light commodity devices for building vehicular ad hoc networks: An experimental study.
(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 ... -
Model Transformation Testing and Debugging: A Survey
(ACM, 2022)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 ... -
NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions.
(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
(2018)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 ... -
Real-Time Crowd Counting based on wearable Ephemeral IDs
(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 ... -
Smart Rollators Aid Devices: Current Trends and Challenges.
(IEEE, 2022-08-26)Mobility loss has a major impact on autonomy. Smart rollators have been proposed to enhance human abilities when conventional devices are not enough. Many human-robot interaction systems have been proposed in the last ... -
Testing models and model transformations using classifying terms.
(2016-11-09)This paper proposes the use of equivalence partitioning techniques for testing models and model transformations. In particular, we introduce the concept of classifying terms, which are general OCL terms on a class model ... -
Towards using Few-Shot Prompt Learning for Automating Model Completion
(IEEE, 2023)We propose a simple yet a novel approach to improve completion in domain modeling activities. Our approach exploits the power of large language models by using few-shot prompt learning without the need to train or fine-tune ... -
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
(Springer, 2024)As traffic cameras become prevalent, and a considerable amount of traffic videos are stored for various purposes, new possibilities and challenges open in the automatic analysis of traffic scenes. Advances in deep ...