no code implementations • 29 Jun 2023 • Ashwin Agrawal, Vishal Singh, Martin Fischer
This lack of understanding results in the disconnect between AI planning and implementation because the planning is based on a vision of what AI should solve without considering if it can or will solve it.
no code implementations • 8 Jan 2023 • Ashwin Agrawal, Robert Thiel, Pooja Jain, Vishal Singh, Martin Fischer
This piecemeal implementation of DTs often leaves practitioners wondering what roles (or functions) to allocate to DTs in a work system, and how might it impact humans.
no code implementations • 11 Oct 2022 • Ashwin Agrawal, Vishal Singh, Martin Fischer
Despite the Digital Twin (DT) concept being in the industry for a long time, it remains ambiguous, unable to differentiate itself from information models, general computing, and simulation technologies.
no code implementations • 4 Aug 2022 • Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles
The object detection model was trained on hand-labeled images to localize grape bunches, and either bunch count or pixel area was summed to correlate with grape yield.
no code implementations • 14 Jan 2022 • Ashwin Agrawal, Martin Fischer, Vishal Singh
Recent technological developments and advances in Artificial Intelligence (AI) have enabled sophisticated capabilities to be a part of Digital Twin (DT), virtually making it possible to introduce automation into all aspects of work processes.
no code implementations • 25 Oct 2020 • Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Presentation attacks are posing major challenges to most of the biometric modalities.
no code implementations • 21 Feb 2019 • Avinash Barnwal, Hari Pad Bharti, Aasim Ali, Vishal Singh
Features used are technical indicators used are not limited to trend, momentum, volume, volatility indicators, and sentiment analysis has also been used to gain useful insight combined with the above features.
no code implementations • WS 2018 • Ayush Jain, Vishal Singh, Sidharth Ranjan, Rajakrishnan Rajkumar, Sumeet Agarwal
According to the UNIFORM INFORMATION DENSITY (UID) hypothesis (Levy and Jaeger, 2007; Jaeger, 2010), speakers tend to distribute information density across the signal uniformly while producing language.