Blar i TKD - Institutt for maskin, elektronikk og kjemi på emneord "Deep learning"

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    • Kvasir-Instruments and Polyp Segmentation Using UNet 

      Keprate, Arvind (Nordic Machine Intelligence (NMI);Vol. 1 No. 1 (2021): MedAI: Transparency in Medical Image Segmentation, Peer reviewed; Journal article, 2021-11-01)
      This paper aims to describe the methodology used to develop, fine-tune and analyze a UNet model for creating masks for two datasets: Polyp Segmentation and Instrument Segmentation, which are part of MedAI challenge. For ...

    • Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning 

      Keprate, Arvind; Chatterjee, Supratik (International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)
      Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ...