Now showing items 1-4 of 4

    • An extensible parsing pipeline for unstructured data processing 

      Jain, Shubham; de Buitléir, Amy; Fallon, Enda (IEEE, 2021-03-10)
      Network monitoring and diagnostics systems depict the running system's state and generate enormous amounts of unstructured data through log files, print statements, and other reports. It is not feasible to manually analyze ...
    • Low-cost gaze detection with real-time ocular movements using coordinate-convolutional neural networks 

      Jain, Shubham; Fallon, Enda (United Kingdom Simulation Society, 2019-10)
      Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural ...
    • A review of unstructured data analysis and parsing methods 

      Jain, Shubham; de Buitléir, Amy; Fallon, Enda (IEEE, 2020-03)
      Computer applications generate an enormous amount of data every day through their logs, system-generated files or other reports. This generated data depicts the state of the running system and contains abundant information ...
    • Unsupervised noise detection in unstructured data for automatic parsing 

      Jain, Shubham; de Buitléir, Amy; Fallon, Enda (IEEE, 2020-11-30)
      The telecommunications industry makes extensive use of data extracted from logs, alarms, traces, diagnostics, and other monitoring devices. Analyzing the generated data requires that the data be parsed, re-structured, and ...