Listar ITIS - Contribuciones a congresos científicos por centro "E.T.S.I. Informática"
Mostrando ítems 1-20 de 49
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A Conceptual Architecture for Building Digital Twins.
(2023)Digital twins have recently emerged as an innovative paradigm for improving the performance of cyber-physical systems, software and processes. In essence, a digital twin is a virtual replica of the system whose operation ... -
Addressing the Uncertainty Interaction Problem in Software-intensive Systems: Challenges and Desiderata. (Summary).
(2023)Software-intensive systems are increasingly used to support tasks that are typically characterized by high degrees of uncertainty. The modeling notations employed to design, verify, and operate such systems have increasingly ... -
An Efficient QAOA via a Polynomial QPU-Needless Approach.
(2023)The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum algorithm described as ansatzes that represent both the problem and the mixer Hamiltonians. Both are parameterizable unitary transformations executed ... -
An efficient routing protocol for green communications in vehicular ad-hoc networks.
(ACM, 2011-07-12)Vehicular ad-hoc networks (VANETs) provide the communications required to deploy Intelligent Transportation Systems (ITS). In the current state of the art there is a lack of studies on Green Communications (energy-efficiency) ... -
Análisis de Conformidad de Gemelos Digitales Multi-Fidelidad
(Biblioteca Digital SISTEDES, 2022-08-30)Un gemelo digital es una réplica virtual de un sistema a un cierto nivel de fidelidad, sincronizados a una determinada frecuencia. Los gemelos digitales suelen emplearse para replicar sistemas físicos cuyas simulaciones ... -
Automated planning for adaptive Cyber-Physical Systems under uncertainty in temporal availability constraints
(2024-04-15)In smart Cyber-Physical Systems (sCPS), a critical challenge lies in task planning under uncertainty. There is a broad body of work in the area with approaches able to deal with different classes of constraints (e.g., ... -
Automatizing Software Cognitive Complexity Reduction.
(2023)Software plays a central role in our life nowadays. We use it almost anywhere, at any time, and for everything: to browse the In- ternet, to check our emails, and even to access critical services such as health monitoring ... -
Clasificación de delitos con incertidumbre
(2023)La clasificación de atestados policiales es un tema complejo en el que la incertidumbre juega un papel importante. Por ejemplo, en muchos informes faltan información o es inconsistente. También es posible que diferentes ... -
Coevolutionary generative adversarial networks for medical image augumentation at scale
(2022-07-08)Medical image processing can lack images for diagnosis. Generative Adversarial Networks (GANs) provide a method to train generative models for data augmentation. Synthesized images can be used to improve the robustness of ... -
Combining OCL and Natural Language: a Call for a Community Effort
(ACM, 2022-10)The growing popularity and availability of pretrained natural language models opens the door to many interesting applications combining natural language (NL) with software artefacts. A couple of examples are the generation ... -
Crazy Chefs!: videojuego serio gamificado basado en tecnología de captura de movimientos para fomentar la socialización y el entrenamiento físico de personas mayores
(CEUR Workshop Proceedings, 2022-12)Uno de los principales objetivos del programa marco de la UE Horizon Europa persigue mejorar la salud y el bienestar de los ciudadanos usando soluciones innovadoras para prevenir, diagnosticar, tratar o curar una enfermedad. ... -
DASSCi: Avatares Digitales Deportivos en Ciudades Inteligentes.
(2023)Las nuevas tecnologías han impulsado la evolución de las ciudades inteligentes, las cuales buscan mejorar la calidad de vida de sus habitantes y optimizar la gestión de recursos urbanos a través de soluciones innovadoras ... -
Dealing with Belief Uncertainty in Domain Models.
(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; ... -
Defining Categorical Reasoning of Numerical Feature Models with Feature-Wise and Variant-Wise Quality Attributes
(ACM, 2022)Automatic analysis of variability is an important stage of Software Product Line (SPL) engineering. Incorporating quality information into this stage poses a significant challenge. However, quality-aware automated analysis ... -
Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning
(2023)Emergent application domains (e.g., Edge Computing/Cloud /B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large \textit{Variability Models} (VMs), leading to ... -
Digital Avatars for Older People’s Care
(2020-06-17)The continuous increase in life expectancy poses a challenge for health systems in modern societies, especially with respect to older people living in rural low-populated areas, both in terms of isolation and difficulty ... -
Diseño de servicios cuánticos a través de la especificación AsyncAPI
(2023)La computación cuántica ha evolucionado de ser una idea teórica a convertirse en una realidad tangible. Aunque no es posible acceder directamente a un ordenador cuántico de la misma manera que a los ordenadores convencionales, ... -
Distributed federated and incremental learning for electric vehicles model development in Kafka-ML
(IEEE, 2024)With the increasing development and deployment of new systems for efficient and clean mobility, Electric Vehicles (EVs) are becoming more and more common among people. Those produce large amounts of data streams that need ... -
Elimination of constraints for parallel analysis of feature models.
(2023)Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization.
(Springer, 2023)We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality constraints. We approach this issue in ...