Listar GI-LBD - Artigos por autor "Rodríguez Luaces, Miguel"

Mostrando ítems 1-8 de 8

    • A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (MDPI AG, 2020-04-13)
      [Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...

    • Accessible Routes Integrating Data from Multiple Sources 

      Rodríguez Luaces, Miguel; Arias Fisteus, Jesús; Sánchez-Fernández, Luis; Muñoz-Organero, Mario; Balado, Jesús; Díaz-Vilariño, Lucía; Lorenzo, Henrique (MDPI AG, 2020-12-26)
      [Abstract] Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge ...

    • An Action Research for Improving the Sustainability Assessment Framework Instruments 

      Condori Fernández, Nelly; Lago, Patricia; Rodríguez Luaces, Miguel; Saavedra Places, Ángeles (MDPI AG, 2020-02-24)
      [Abstract] In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the ...

    • Combining Multiple Granularity Variability in a Software Product Line Approach for Web Engineering 

      Horcas Aguilera, José Miguel; Cortiñas, Alejandro; Fuentes, Lidia; Rodríguez Luaces, Miguel (Elsevier, 2022)
      [Abstract] Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts ...

    • Compact and indexed representation for LiDAR point clouds 

      Ladra, Susana; Rodríguez Luaces, Miguel; Paramá, José R.; Silva-Coira, Fernando (Taylor & Francis, 2022)
      [Abstract]: LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, ...

    • Local features: Enhancing variability modeling in software product lines 

      Castro, David de; Cortiñas, Alejandro; Rodríguez Luaces, Miguel; Pedreira, Óscar; Saavedra Places, Ángeles (Elsevier, 2024-07)
      [Abstract]: Context and motivation: Software Product Lines (SPL) enable the creation of software product families with shared core components using feature models to model variability. Choosing features from a feature model ...

    • Multilevel Modeling of Geographic Information Systems Based on International Standards 

      Alvarado, Suilen H.; Cortiñas, Alejandro; Rodríguez Luaces, Miguel; Pedreira, Óscar; Saavedra Places, Ángeles (SpringerLink, 2021)
      [Abstract] Even though different applications based on Geographic Information Systems (GIS) provide different features and functions, they all share a set of common concepts (e.g., spatial data types, operations, services), ...

    • New machine learning approaches for real-life human activity recognition using smartphone sensor-based data 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier B.V., 2023)
      [Abstract]: In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, ...