Complex networks and deep learning for EEG signal analysis

Z Gao, W Dang, X Wang, X Hong, L Hou, K Ma… - Cognitive …, 2021‏ - Springer
Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

A review on turbulent and vortical flow analyses via complex networks

G Iacobello, L Ridolfi, S Scarsoglio - Physica A: Statistical Mechanics and …, 2021‏ - Elsevier
Turbulent and vortical flows are ubiquitous and their characterization is crucial for the
understanding of several natural and industrial processes. Among different techniques to …

The social physics collective

M Perc - Scientific reports, 2019‏ - nature.com
More than two centuries ago Henri de Saint-Simon envisaged physical laws to describe
human societies. Driven by advances in statistical physics, network science, data analysis …

Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales

AS Raghuvanshi, A Agarwal - Scientific Reports, 2024‏ - nature.com
Regional weather and climate are generally impacted by global climatic phenomenon′ s.
Understanding the impact of global climate phenomenon′ s on an atmospheric branch of …

[HTML][HTML] Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

J Kurths, A Agarwal, R Shukla, N Marwan… - Nonlinear Processes …, 2019‏ - npg.copernicus.org
A better understanding of precipitation dynamics in the Indian subcontinent is required since
India's society depends heavily on reliable monsoon forecasts. We introduce a non-linear …

Evaluation of global teleconnections in CMIP6 climate projections using complex networks

C Dalelane, K Winderlich, A Walter - Earth System Dynamics, 2023‏ - esd.copernicus.org
In climatological research, the evaluation of climate models is one of the central research
subjects. As an expression of large-scale dynamical processes, global teleconnections play …

The theory of parallel climate realizations: A new framework of ensemble methods in a changing climate: An overview

T Tél, T Bódai, G Drótos, T Haszpra, M Herein… - Journal of Statistical …, 2020‏ - Springer
Based on the theory of “snapshot/pullback attractors”, we show that important features of the
climate change that we are observing can be understood by imagining many replicas of …

Wavelet analysis of precipitation extremes over India and teleconnections to climate indices

M Rathinasamy, A Agarwal, B Sivakumar… - … Research and Risk …, 2019‏ - Springer
Precipitation patterns and extremes are significantly influenced by various climatic factors
and large-scale atmospheric circulation patterns. This study uses wavelet coherence …

Collective behavior in a two-layer neuronal network with time-varying chemical connections that are controlled by a Petri net

A Bahramian, F Parastesh, VT Pham… - … Journal of Nonlinear …, 2021‏ - pubs.aip.org
In this paper, we propose and study a two-layer network composed of a Petri net in the first
layer and a ring of coupled Hindmarsh–Rose neurons in the second layer. Petri nets are …

Critical slowing down indicators

F Nazarimehr, S Jafari, M Perc, JC Sprott - Europhysics Letters, 2020‏ - iopscience.iop.org
Critical slowing down is considered to be an important indicator for predicting critical
transitions in dynamical systems. Researchers have used it prolifically in the fields of …