Peer-reviewed articles, patents & papers

1. Piparia S, Defante A, Tantisira K, Ryu J. Using machine learning to improve our understanding of COVID-19 infection in children. PLoS One. 2023;18(2):e0281666. DOI:10.1371/journal.pone.0281666. PMID: 36791067; PMCID: PMC9931095.
2. Piparia S, Adamo D, Bryce R, Do H, Bryant B. “Combinatorial Testing of Context-Aware Android Applications” (Invited Paper). In: Proc. FedCSIS 2021; 2021: 17-26.
3. Piparia S, Khan K, Bryce R. “Discovery of real-world context event patterns for smartphone devices using conditional random fields.” In: 18th ICIT-NG; 2021: 221-227.
4. Madala K, Piparia S, Blanco E, Do H, Bryce R. “Model elements identification using a neural network: a comprehensive study.” Requirements Engineering. 2020.
5. Madala K, Piparia S, Do H, Bryce R. “Finding Component State Transition Model Elements using Neural Networks: An Empirical Study.” AIRE Workshop; Aug 2018.
6. Adamo D, Nurmuradov D, Piparia S, Bryce R. “Combinatorial-based Event Sequence Testing of Android Applications.” Information and Software Technology. 2018;99:98-117.
7. Nurmuradov D, Bryce R, Piparia S, Bryant B. “Test Suite Prioritization Using Clustering and Combinatorial Methods for GUI and Web Applications.” In: 15th ICIT-NG; Apr 2018: 459-466.
8. Pepakayala SC, Mishra A, Beg MS, Piparia S, Shailesh SR. “Smart Search and Navigate.” US Patent App. 14/937,713. Published May 11 2017.
9. Singampalli S, Piparia S, Chinara S. “Modeling and Performance Analysis of AODV routing protocol using CPN.” Lambert; Feb 2016.
10. Piparia S, Chinara S. “Modeling of AODV routing protocols using Time Petri-nets.” In: ICGITS; Apr 2013: 283-288.