Listar LCC - Artículos por título
Mostrando ítems 60-79 de 112
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Improved detection of small objects in road network sequences using CNN and super resolution
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 ... -
Kafka-ML: Connecting the data stream with ML/AI frameworks
Martin-Fernandez, Cristian
; Langendoerfer, Peter; Soltani Zarrin, Pouya; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolome (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
Rodríguez-Revello, Jorge; Barba-González, Cristóbal; Rybinski, Maciej; Navas-Delgado, Ismael (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 ... -
Low Disruption Transformations on Cyclic Automata
Martín Reyes, Gema María; Vico-Vela, Francisco José; Dassow, Jürgen (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
Sánchez-Quintana, Carlos Alberto; Moreno-Arcas, Francisco; Albarracín Molina, David Daniel; Fernández Rodríguez, José David; Vico-Vela, Francisco José (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
Dahi, Zakaria Abdelmoiz; Alba-Torres, Enrique (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 ... -
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
Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis; Pozas García, Nicolás (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
Cukurova, Mutlu; Luckin, Rose; Millán-Valldeperas, Eva; Mavrikis, Manolis (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
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (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 ... -
Numerical search for the stationary quasi-breather of the graphene superlattice equation.
Martín-Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (ELSEVIER, 2022-08-11)
The propagation of electromagnetic solitons in a graphene superlattice device is governed by a modified sine-Gordon equation, referred to as the graphene superlattice equation. Kink-antikink collisions suggest the existence ... -
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
Alba-Torres, Enrique; Chicano-García, José-Francisco (2014-10-01)
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatically creating a set of input data to test a ... -
OCPP in the spotlight: threats and countermeasures for electric vehicle charging infrastructures 4.0
Alcaraz, Cristina; Cumplido, Jesús; Triviño-Cabrera, Alicia (Springer, 2023)
Undoubtedly, Industry 4.0 in the energy sector improves the conditions for automation, generation and distribution of energy, increasing the rate of electric vehicle manufacturing in recent years. As a result, more ... -
On competitive balance in the group stage of the UEFA Champions League
Triguero-Ruiz, Francisco Andrés; Ávila-Cano, Antonio Jesús (Wiley, 2022-09-01)
This article examines competitive balance in the group stage of the UEFA Champions League over the last two decades (1999/2000–2017/2018). Competitive balance is considered both before and after a competition. Have the ... -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
Cámara-Moreno, Javier; Troya-Castilla, Javier; Burgueño-Caballero, Lola; Vallecillo-Moreno, Antonio Jesús (Springer, 2023)
Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revo- lutionize the way in which software is developed. Many papers are currently devoted to analyzing the ... -
On the automatic design of multi‑objective particle swarm optimizers: experimentation and analysis.
Nebro-Urbaneja, Antonio Jesús; López-Ibáñez, Manuel; García-Nieto, José Manuel; Coello Coello, Carlos A. (Springer Nature, 2023-10-09)
Research in multi-objective particle swarm optimizers (MOPSOs) progresses by proposing one new MOPSO at a time. In spite of the commonalities among different MOPSOs, it is often unclear which algorithmic components are ... -
On the performance of SQL scalable systems on Kubernetes: a comparative study
Cardas Ezeiza, Cristian; Aldana Martín, José Francisco; Burgueño Romero, Antonio Manuel; Nebro-Urbaneja, Antonio Jesús; Mateos, Jose M.; Sánchez-Martínez, Juan José[et al.] (2022-09-09)
The popularization of Hadoop as the the-facto standard platform for data analytics in the context of Big Data applications has led to the upsurge of SQL-on-Hadoop systems, which provide scalable query execution engines ...