Artículos (Lenguajes y Sistemas Informáticos): Recent submissions
Now showing items 21-40 of 773
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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
(Elsevier, 2024)CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ...
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Two Decades of Assistive Technologies to Empower People with Disability: a Systematic Mapping Study
(Taylor & Francis, 2023-10-05)Purpose: Information and Communication Technologies have transformed our lives in different social areas, facilitating ...
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CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
(Elsevier, 2023-04-01)The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it ...
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Conditioned Cooperative training for semi-supervised weapon detection
(Elsevier, 2023-10-01)Violent assaults and homicides occur daily, and the number of victims of mass shootings increases every year. However, ...
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Data Processing Unit for Energy Saving in Computer Vision: Weapon Detection Use Case
(2022-12-28)The growth of the Internet has led to the emergence of servers that perform increasingly heavy tasks. Some servers must ...
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Empirical analysis of the tool support for software product lines
(Springer Science and Business Media Deutschland GmbH, 2022)For the last ten years, software product line (SPL) tool developers have been facing the implementation of different ...
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A unified model representation of machine learning knowledge
(Rinton Press, 2020)Nowadays, Machine Learning (ML) algorithms are being widely applied in virtually all possible scenarios. However, developing ...
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Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification
(IOP Press, 2016-04)This thesis introduces three contributions to train feed-forward neural network models based on evolutionary computation ...
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A Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification
(Elsevier, 2011-01)This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of ...
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Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
(Springer, 2023)Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care ...
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A Monte Carlo tree search conceptual framework for feature model analyses
(ElSevier, 2023-01)Challenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0 expose highly variable systems ...
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BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier B.V., 2024)Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data ...
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Monitoring polythionate bio-oxidation by conductivity measurement
(Elsevier, 2016)Polythionates are formed by the incomplete oxidation of sulphide minerals in the grinding and flotation circuits, and ...
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Energy Saving Policies in Grid Computing and Smart Environments
(IOS Press, 2014)This work studies the problem of energy consumption growth in two spheres: Grid-Computing and Smart Environments. These ...
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Feature models to boost the vulnerability management process
(Elsevier Inc., 2023-01)Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to ...
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ELI: an IoT-aware big data pipeline with data curation and data quality
(PeerJ, 2023)The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as ...
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Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in ...
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Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023-06-28)Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...
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An empirical study to evaluate the impact of mindfulness on helpdesk employees
(ScienceDirect, 2023)Purpose: Mindfulness is a meditation technique whose main goal involves maintaining a calm mind and training attention by ...
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A new approach based on association rules to add explainability to time series forecasting models
(ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...