13 hasil untuk "Angulo, Cecilio"
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Artikel Jurnal Teks lengkap
Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation
In healthcare, vast amounts of data are increasingly collected through sensors for smart health applications and patient monitoring or diagnosis. However, such medical data often comprise sensitive patient information, posing challenges regarding data privacy, and are resource-intensive to acquire…
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Cognitive Robotics & Control
Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices…
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Children’s Imaginaries of Human-Robot Interaction in Healthcare
This paper analyzes children’s imaginaries of Human-Robots Interaction (HRI) in the context of social robots in healthcare, and it explores ethical and social issues when designing a social robot for a children’s hospital. Based on approaches that emphasize the reciprocal relationship between…
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Analysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture
Machine learning algorithms and the increasing availability of data have radically changed the way how decisions are made in today’s Industry. A wide range of algorithms are being used to monitor industrial processes and predict process variables that are difficult to be measured. Maintenance…
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A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery
Human Pose Recovery has been studied in the field of Computer Vision for the last 40 years. Several approaches have been reported, and significant improvements have been obtained in both data representation and model design. However, the problem of Human Pose Recovery in uncontrolled environments…
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Operational Modes Detection in Industrial Gas Turbines Using an Ensemble of Clustering Methods
Operational modes of a process are described by a number of relevant features that are indicative of the state of the process. Hundreds of sensors continuously collect data in industrial systems, which shows how the relationship between different variables changes over time and identifies different…
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Revisiting Classical Controller Design and Tuning with Genetic Programming
This paper introduces the application of a genetic programming (GP)-based method for the automated design and tuning of process controllers, representing a noteworthy advancement in artificial intelligence (AI) within the realm of control engineering. In contrast to already existing work, our…
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Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder
Maintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks to the increasing availability of data and condition assessment methods. Soft…
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Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child’s interaction
BACKGROUND: This PATRICIA research project is about using pet robots to reduce pain and anxiety in hospitalized children. The study began 2 years ago and it is believed that the advances made in this project are significant. Patients, parents, nurses, psychologists, and engineers have adopted the…
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Technical Development of the CeCi Social Robot
This research presents the technical considerations for implementing the CeCi (Computer Electronic Communication Interface) social robot. In this case, this robot responds to the need to achieve technological development in an emerging country with the aim of social impact and social interaction…
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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness
This study introduces a machine learning (ML)-based platform aimed at predicting the effectiveness of Metacognitive Training (MCT). The platform is meant to function as an experimental prototype in the scope of a clinical research project for a decision support system to assist clinicians in…
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Artikel Jurnal Teks lengkap
Data harmonization for the analysis of personalized treatment of psychosis with metacognitive training
Personalized medicine is a data-driven approach that aims to adapt patients’ diagnostics and therapies to their characteristics and needs. The availability of patients’ data is therefore paramount for the personalization of treatments on the basis of predictive models, and even more so in machine…