LCC - Contribuciones a congresos científicos: Envíos recientes
Mostrando ítems 1-20 de 338
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Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
(IEEE, 2021)Social conflicts appearing in the media are increas ing public awareness about security issues, resulting in a higher demand of more exhaustive environment monitoring methods. Automatic video surveillance systems are a ... -
Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption
(IEEE, 2014-07)In last years, enhancing the vehicular traffic flow becomes a mandatory task to minimize the impact of polluting emissions and unsustainable fuel consumption in our cities. Smart Mobility optimisation emerges then, with ... -
Analysing requirements specification languages for self-adaptive AAL systems
(2023-11-28)AAL systems are usually deployed in complex environments and should behave autonomously. So, self-adaptation is an essential concern of these systems that should be part of their requirements specification. The modelling ... -
Dealing with inheritance in OO evolutionary testing.
(2009-07)Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural languages. All this work can be used with small ... -
Improving Bi-Objective Shortest Path Search with Early Pruning.
(2023)Bi-objective search problems are a useful generalization of shortest path search. This paper reviews some recent contributions for the solution of this problem with emphasis on the efficiency of the dominance checks ... -
Detección de fraude en transacciones Blockchain usando procesos de Machine Learning, una Aproximación al Estado del Arte.
(2023)Las aplicaciones financieras basadas en tecnología blockchain son cada vez más comunes en el día a día de la economía regulada global. Con este precedente, y en una contextualización de la detección de fraude mediante el ... -
Cryptographic approaches for confidential computations in blockchain.
(2023)Blockchain technologies have been widely re- searched in the last decade, mainly because of the revolution they propose for different use cases. Moving away from centralized solutions that abuse their capabilities, blockchain ... -
Multi-objective bandit algorithms with Chebyshev scalarization.
(2023)In this paper we analyze several alternatives for Chebyshev scalarization in multi-objective bandit problems. The alternatives are evaluated on a reference bi-objective benchmark problem of Pareto frontier approximation. ... -
A Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary Algorithm.
(2023)The automatic design of multi-objective metaheuristics is an active research line aimed at, given a set of problems used as training set, to find the configuration of a multi-objective optimizer able of solving them ... -
An improved multi-objective genetic algorithm for the neural architecture search problem.
(2023)In recent years, there is a great interest in automating the process of searching for neural network topology. This problem is called Neural Architecture Search (NAS), which can be seen as a 3-gear mechanism: the search ... -
Innovations that empower teachers: the case of i-Spring to design tailor-made learning materials.
(2023)Organizations must acknowledge the necessity of change and adopt diverse management strategies to swiftly adapt to the evolving technology and the new knowledge landscape. In the context of educational changes, an increasing ... -
Semantic modelling of Earth Observation remote sensing.
(2023-09)Earth Observation (EO) based on Remote Sensing (RS) is becoming increasingly important, offering a robust technological framework for advanced applications in various domains like climate change, precision agriculture, ... -
Analysis and optimisation of SPL products using goal models.
(2023)The Internet of Things is one of the core drivers of variability modelling and requires explicit mechanisms to manage it. A key technology for addressing this variability is product line engineering. This approach uses a ... -
Human Activity Recognition From Sensorised Patient´s Data in Healthcare: A Streaming Deep Learning-Based Approach.
(SISTEDES, 2023)Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is ... -
Towards Self-Adaptive Software for Wildfire Monitoring with Unmanned Air Vehicles.
(2023)Wildfires have evolved significantly over the last decades, burning increasingly large forest areas every year. Smart cyber-physical systems like small Unmanned Air Vehicles (UAVs) can help to monitor, predict, and mitigate ... -
A Unified Metamodel for NoSQL and Relational Databases.
(2023)The Database field is undergoing significant changes. Although relational systems are still predominant, the interest in NoSQL systems is continuously increasing. In this scenario, polyglot persistence is envisioned as the ... -
A generic LSTM neural network architecture to infer heterogeneous model transformations.
(2023)Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
Un analizador de modelos de variabilidad basado en el árbol de características.
(Sistedes, 2023-09-12)Un árbol de características generalizado (GFT) es un modelo de variabilidad en el que las restricciones textuales han sido eliminadas manteniendo la semántica del modelo. La ventaja de un GFT es que se puede analizar ... -
Impacto de la heterogeneidad espacial del tráfico de red en el problema del apagado de celdas en redes ultra-densas.
(2023)The ultra-dense deployment of small base stations is one of the enabling technologies for the next generation of mobile networks (5G and 6G), which leads to an increase in the energy consumption of the infrastructure. This ... -
Parallel proccessing applied to object detection with a Jetson TX2 embedded system.
(2023)Video streams from panoramic cameras represent a powerful tool for automated surveillance systems, but naïve implementations typically require very intensive computational loads for applying deep learning models for automated ...