[HTML][HTML] Prediction of dragon king extreme events using machine learning approaches and its characterizations
P Durairaj, GK Sundararam, S Kanagaraj, K Rajagopal - Physics Letters A, 2023 - Elsevier
In this study, we employ a machine learning approach to infer the complex dynamics of
dragon king extreme events. Specifically, we utilize two distinct machine learning …
dragon king extreme events. Specifically, we utilize two distinct machine learning …
Mitigation of extreme events in an excitable system
R Shashangan, S Sudharsan… - … Physical Journal Plus, 2024 - epjplus.epj.org
Formulating mitigation strategies is one of the main aspect in the dynamical study of extreme
events. Apart from the effective control, easy implementation of the devised tool should also …
events. Apart from the effective control, easy implementation of the devised tool should also …
Strange nonchaotic attractors in a class of quasiperiodically forced piecewise smooth systems
The existence of strange nonchaotic attractors (SNAs) and the associated mechanisms are
studied in a class of quasiperiodically forced piecewise smooth systems. We show that the …
studied in a class of quasiperiodically forced piecewise smooth systems. We show that the …
Focus on the disruption of networks and system dynamics
Networks are designed to ensure proper functioning and sustained operability of the
underlying systems. However, disruptions are generally unavoidable. Internal interactions …
underlying systems. However, disruptions are generally unavoidable. Internal interactions …
Extreme events in locally coupled bursting neurons
AR Sree, D Ghosh - arXiv preprint arXiv:2408.06805, 2024 - arxiv.org
We report a new mechanism through which extreme events with a dragon king-like
distribution emerge in a network of locally coupled Hindmarsh-Rose bursting neurons. We …
distribution emerge in a network of locally coupled Hindmarsh-Rose bursting neurons. We …