4 code implementations • 10 Jul 2020 • Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
Many of these methods are based on traditional epidemiological model which rely on simulations or Bayesian inference to simultaneously learn many parameters at a time.
3 code implementations • 24 Sep 2023 • Zixun Huang, Keling Yao, Seth Z. Zhao, Chuanyu Pan, Tianjian Xu, Weiyu Feng, Allen Y. Yang
The potential of digital-twin technology, involving the creation of precise digital replicas of physical objects, to reshape AR experiences in 3D object tracking and localization scenarios is significant.
no code implementations • 4 Feb 2021 • Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
In this paper, we introduce a prototype of EpiBench which is currently running and accepting submissions for the task of forecasting COVID-19 cases and deaths in the US states and We demonstrate that we can utilize the prototype to develop an ensemble relying on fully automated epidemic forecasts (no human intervention) that reaches human-expert level ensemble currently being used by the CDC.