Browsing by Author "Patros, Panos"

Now showing items 6-10 of 12

  • Interpretable deep learning for surgical tool management

    Rodrigues, Mark; Mayo, Michael; Patros, Panos (Springer, 2021)
    This paper presents a novel convolutional neural network framework for multi-level classification of surgical tools. Our classifications are obtained from multiple levels of the model, and high accuracy is obtained by ...
  • Maintaining SLOs of cloud-native applications via self-adaptive resource sharing

    Podolskiy, Vladimir; Mayo, Michael; Koay, Abigail; Gerndt, Michael; Patros, Panos (IEEE, 2019)
    With changing workloads, cloud service providers can leverage vertical container scaling (adding/removing resources) so that Service Level Objective (SLO) violations are minimized and spare resources are maximized. In this ...
  • Node.js scalability investigation in the cloud

    Zhu, Jiapeng; Patros, Panos; Kent, Kenneth B.; Dawson, Michael (ACM, 2018)
    Node.js has gained popularity in cloud development due to its asynchronous, non-blocking and event-driven nature. However, scalability issues can limit the number of concurrent requests while achieving an acceptable level ...
  • Surgical tool datasets for machine learning research: A survey

    Rodrigues, Mark; Mayo, Michael; Patros, Panos (Springer, 2022)
    This paper is a comprehensive survey of datasets for surgical tool detection and related surgical data science and machine learning techniques and algorithms. The survey offers a high level perspective of current research ...
  • Towards embedding data provenance in files

    Phua, Thye Way; Patros, Panos; Kumar, Vimal (IEEE, 2021)
    Data provenance (keeping track of who did what, where, when and how) boasts of various attractive use cases for distributed systems, such as intrusion detection, forensic analysis and secure information dependability. This ...