Artículos (Lenguajes y Sistemas Informáticos): Recent submissions
Now showing items 1-20 of 761
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Thinking about spiking neural P systems: some theories, tools, and research topics
(SPRINGER; SPRINGERNATURE; Springer Science and Business Media LLC, 2024)The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous ...
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Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ...
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A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
(MDPI, 2023-02)Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in ...
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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
(Elsevier, 2023-12)The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ...
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Uncovering the social dynamics of online elections
(2012)Past work analysing elections in online domains has largely ignored the underlying social networks present in such ...
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Object detection using depth completion and camera-LiDAR fusion for autonomous driving
(IOS Press, 2022)Autonomous vehicles are equipped with complimentary sensors to perceive the environment accurately. Deep learning models ...
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Short-term solar irradiance forecasting in streaming with deep learning
(Elsevier, 2023)Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ...
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Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
(IOS Press, 2024)The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new ...
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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 ...