• A Convolutional Approach to Quality Monitoring for Laser Manufacturing 

      González-Val, Carlos; Pallas Fernández, Adrián; Panadeiro Castro, Verónica; Rodriguez, Alvaro (Springer, 2019-10-09)
      [Abstract] The extraction of meaningful features from the monitoring of laser processes is the foundation of new non-destructive quality inspection methods for the manufactured pieces, which has been and remains a growing ...
    • Accelerating the quality control of genetic sequences through stream processing 

      Castellanos Rodríguez, Óscar; Expósito, Roberto R.; Touriño, Juan (Association for Computing Machinery, 2023)
      [Abstract]: Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, needing to have ...
    • Automatic detection of defective crankshafts by image analysis and supervised classification 

      Remeseiro, Beatriz; Tarrío-Saavedra, Javier; Francisco-Fernández, Mario; Penedo, Manuel; Naya, Salvador; Cao, Ricardo (2019)
      [Abstract]: A crankshaft is a mechanical component of an engine that performs a conversion of an alternative movement of a piston in a rotational motion of a shaft. It is a critical part and one of the most expensive of ...
    • New Ways for the Advanced Quality Control of Liquefied Natural Gas 

      Ferreiro, Borja; Andrade-Garda, José Manuel; Paz-Quintáns, Carlota; López-Mahía, P.; Muniategui, Soledad (MDPI, 2022-01-04)
      [Abstract] Currently, gas chromatography is the most common analytical technique for natural gas (NG) analysis as it offers very precise results, with very low limits of detection and quantification. However, it has several ...
    • SeQual-Stream: approaching stream processing to quality control of NGS datasets 

      Castellanos Rodríguez, Óscar; Expósito, Roberto R.; Touriño, Juan (BMC, 2023-10)
      [Abstract]: Background Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, ...
    • SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets 

      Expósito, Roberto R.; Galego Torreiro, Roi; González-Domínguez, Jorge (Institute of Electrical and Electronics Engineers, 2020-08-07)
      [Abstract] This paper presents SeQual, a scalable tool to efficiently perform quality control of large genomic datasets. Our tool currently supports more than 30 different operations (e.g., filtering, trimming, formatting) ...