no code implementations • 10 Apr 2024 • Rohan Reddy Mekala, Elias Garratt, Matthias Muehle, Arjun Srinivasan, Adam Porter, Mikael Lindvall
This paper details seminal work on defect segmentation pipeline using in-situ optical images to identify features that indicate defective states that are visible at the macroscale.
no code implementations • 10 Apr 2024 • Rohan Reddy Mekala, Elias Garratt, Matthias Muehle, Arjun Srinivasan, Adam Porter, Mikael Lindvall
This paper compares various traditional and machine learning-driven approaches for feature extraction in the diamond growth domain, proposing a novel deep learning-driven semantic segmentation approach to isolate and classify accurate pixel masks of geometric features like diamond, pocket holder, and background, along with their derivative features based on shape and size.
no code implementations • 8 Aug 2023 • Nicole Sultanum, Arjun Srinivasan
Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights.
no code implementations • 1 Nov 2020 • Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera
We utilize both these trust metrics into an optimal cognitive reasoning scheme that decides when and when not to trust the given guidance.