4 citations · 5 across the 5 of their papers we have counts for
6 papers
Deep learning for classifying dynamical states from time series via recurrence plots
Athul Mohan, G. Ambika, Chandrakala Meena
Recurrence Quantification Analysis (RQA) is a widely used method for capturing the dynamical structure embedded in time series data, relying on the analysis of recurrence patterns…
Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
Anisha R. V. Kashyap, D. Pawar, R. Misra +2
In this work, we propose a novel method to classify close binary stars, derived from the dynamical structure inherent in their light curves. We apply the technique to light curves…
Multivariate data analysis using recurrence measures
Shivam Kumar, R. Misra, G. Ambika
The emergent dynamics of complex systems often arise from the internal dynamical interactions among different elements and hence is to be modeled using multiple variables that repr…
Machine learning approach to detect dynamical states from recurrence measures
Dheeraja Thakur, Athul Mohan, G. Ambika +1
We integrate machine learning approaches with nonlinear time series analysis, specifically utilizing recurrence measures to classify various dynamical states emerging from time ser…
Recurrence analysis of meteorological data from climate zones in India
Joshin John Bejoy, G. Ambika
We present a study on the spatio-temporal pattern underlying the climate dynamics in various locations spread over India, including the Himalayan region, coastal region, central an…
Simultaneous and Sequential Synchronisation in Arrays
G Ambika, K Ambika
We discuss the possibility of simultaneous and sequential synchronisation in vertical and horizontal arrays of unidirectionally coupled discrete systems. This is realized for the s…