23 citations · 30 across the 4 of their papers we have counts for
4 papers
Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset
Suba S, Nita Parekh, Ramesh Loganathan +2
Computer tomography (CT) have been routinely used for the diagnosis of lung diseases and recently, during the pandemic, for detecting the infectivity and severity of COVID-19 disea…
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images
Suba S, Nita Parekh
Deep learning (DL) analysis of Chest X-ray (CXR) and Computed tomography (CT) images has garnered a lot of attention in recent times due to the COVID-19 pandemic. Convolutional Neu…
Synchronization and Control of Spatiotemporal Chaos using Time-Series Data from Local Regions
Nita Parekh, V. Ravi Kumar, B. D. Kulkarni
In this paper we show that the analysis of the dynamics in localized regions, i.e., sub-systems can be used to characterize the chaotic dynamics and the synchronization ability of…
Analysis and Characterization of Complex Spatio-temporal Patterns in Nonlinear Reaction-Diffusion Systems
Nita Parekh, V. Ravi Kumar, B. D. Kulkarni
Two important classes of spatio-temporal patterns, namely, spatio-temporal chaos and self-replicating patterns, for a representative three variable autocatalytic reaction mechanism…