5 citations · 15 across the 4 of their papers we have counts for
5 papers
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Han-Ching Ou, Haipeng Chen, Shahin Jabbari +1
Active screening is a common approach in controlling the spread of recurring infectious diseases such as tuberculosis and influenza. In this approach, health workers periodically s…
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway
Alok Talekar, Sharad Shriram, Nidhin Vaidhiyan +10
The Mumbai Suburban Railways, \emph{locals}, are a key transit infrastructure of the city and is crucial for resuming normal economic activity. To reduce disease transmission, poli…
Efficient Reservoir Management through Deep Reinforcement Learning
Xinrun Wang, Tarun Nair, Haoyang Li +7
Dams impact downstream river dynamics through flow regulation and disruption of upstream-downstream linkages. However, current dam operation is far from satisfactory due to the ina…
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
Rachel Guo, Lily Xu, Drew Cronin +3
Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often ca…
Measuring Data Collection Diligence for Community Healthcare
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha +5
Data analytics has tremendous potential to provide targeted benefit in low-resource communities, however the availability of high-quality public health data is a significant challe…