no code implementations • 3 Dec 2021 • Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey
First, we show how crowdsourced reports, ground-truth historical data, and other relevant determinants such as traffic and weather can be used together in a Convolutional Neural Network (CNN) architecture for early detection of emergency incidents.
1 code implementation • 10 Nov 2020 • Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey
Crowdsourcing platforms such as Waze provides an opportunity to develop a rapid, `proactive' approach to collect data about incidents through crowd-generated observational reports.
Ranked #1 on Traffic Accident Detection on custom
no code implementations • 26 May 2020 • Sima E. Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James E. Steck
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference.
3 code implementations • 29 Apr 2020 • Sima E. Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James E. Steck
We develop a systematic method for designing a quantum circuit to represent a generic discrete Bayesian network with nodes that may have two or more states, where nodes with more than two states are mapped to multiple qubits.
Quantum Physics Computational Engineering, Finance, and Science