Listar LCC - Artículos por título
Mostrando ítems 91-110 de 169
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Improved detection of small objects in road network sequences using CNN and super resolution
(2021)The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
(Elsevier, 2021-05-15)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Integrating Blockchain in safety-critical systems: an application to the nuclear industry
(IEEE, 2020-10)Safety-Critical Systems (SCSs) often manage sensible data that must be trustworthy, especially in many cases in which different actors participate whose interests may not coincide. Blockchain is a disruptive technology ... -
Integrating FMI and ML/AI models on the open-sourcedigital twin framework OpenTwins
(Wiley, 2024-03-24)The realm of digital twins is experiencing rapid growth and presents a wealth ofopportunities for Industry 4.0. In conjunction with traditional simulation meth-ods, digital twins offer a diverse range of possibilities. ... -
Integrating river basin DSSs with model checking.
(Springer, 2017-10-24)This paper presents a Decision Support System (DSS) based on formal methods for the management of complex river basins in flood scenarios. The DSS is the result of integrating two different DSSs. First, a DSS for dam ... -
Introducing passive strategies in the initial stage of the design to reduce the energy demand in single-family dwellings.
(Elsevier, 2021-06-15)This article analyses the influence of various variables defined in the initial stage of the design of a single-family dwelling on its energy efficiency. It also studies the possible contribution of a computer tool in ... -
Kafka-ML: Connecting the data stream with ML/AI frameworks
(Elsevier, 2022-01-01)Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ... -
KNIT: Ontology reusability through knowledge graph exploration
(Elsevier, 2023)Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting ... -
Learning Multi-Party Adversarial Encryption and Its Application to Secret Sharing
(2022-11)Neural networks based cryptography has seen a significant growth since the introduction of adversarial cryptography which makes use of Generative Adversarial Networks (GANs) to build neural networks that can learn encryption. ... -
Low Disruption Transformations on Cyclic Automata
(IOS Press, 2010)We extend the edit operators of substitution, deletion, and insertion of a symbol over a word by introducing two new operators (partial copy and partial elimination) inspired by biological gene duplication. We define a ... -
Melomics: A Case-Study of AI in Spain
(Association for the Advancement of Artificial Intelligence, 2013-10)Traditionally focused on good old-fashioned AI and robotics, the Spanish AI community holds a vigorous computational intelligence substrate. Neuromorphic, evolutionary, or fuzzylike systems have been developed by ... -
Metaheuristics on quantum computers: Inspiration, simulation and real execution
(ELSEVIER, 2022)Quantum-inspired metaheuristics are solvers that incorporate principles inspired from quantum mechanics into classical-approximate algorithms using non-quantum machines. Due to the uniqueness of quantum principles, the ... -
Middleware and communication technologies for structural health monitoring of critical infrastructures: a survey
(Elsevier, 2018-02)Critical Infrastructure Protection (CIP) has become a priority for every country around the world with the aim of reducing vulnerabilities and improving protection of Critical Infrastructures (CI) against terrorist attacks ... -
Model-based testing of apps in real network scenarios.
(Springer Nature, 2019-04-01)Traditional testing methods for mobile apps focus on detecting execution errors. However, the evolution of mobile networks towards 5G will require additional support for app developers to also ensure good performance and ... -
Motion-based technology to support motor skills screening in developing children: A scoping review
(Elsevier, 2023-10)Background. Acquiring motor skills is fundamental for children's development since it is linked to cognitive development. However, access to early detection of motor development delays is limited. Aim. This ... -
Multi-objective dynamic programming with limited precision
(Springer, 2021-11-02)This paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or ... -
Multi-objective Reinforcement Learning
(2013-09-25)In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domains -
Multiresolution Layered Manufacturing
(Emerald Publishing, 2018)PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ... -
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
(2019-10-21)Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ... -
NORA: Scalable OWL reasoner based on NoSQL databasesand Apache Spark
(Wiley, 2023-09-04)Reasoning is the process of inferring new knowledge and identifying inconsis-tencies within ontologies. Traditional techniques often prove inadequate whenreasoning over large Knowledge Bases containing millions or billions ...