Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Reconstructing networks via discrete state dynamical data: A mini-review
The inference of network structure from dynamic data is one of the most challenging
scientific problems in network science. To address this issue, researchers have proposed …
scientific problems in network science. To address this issue, researchers have proposed …
Reconstruction of coupling structure in network of neuron-like oscillators based on a phase-locked loop
MV Sysoeva, IV Sysoev, MD Prokhorov… - Chaos, Solitons & …, 2021 - Elsevier
We study the problem of reconstructing the model equations for the network of 3rd order
neuron-like oscillators from time series. The nodes of the network are phase-locked loop …
neuron-like oscillators from time series. The nodes of the network are phase-locked loop …
Graph-based complex network features for the auscultation of mitral incompetence
S Sankararaman - Chinese Journal of Physics, 2021 - Elsevier
The paper unravels the potential of graph theory in the heart murmur auscultation by
constructing a complex network from the single murmur time-series signals. In this study …
constructing a complex network from the single murmur time-series signals. In this study …
Energetic and entropic vibrational resonance with a time-delayed feedback
J Jiang, J Liu, W Guo, L Du - Chinese Journal of Physics, 2022 - Elsevier
Energetic and entropic vibrational resonance with a time-delayed feedback is studied by
considering a Brownian particle confined in a two-dimensional boundary. Both the time …
considering a Brownian particle confined in a two-dimensional boundary. Both the time …
Topology identification of weighted networks via binary time series from propagation dynamics
This study focuses on a topology identification problem of weighted networks with different
connection strength, where binary time series generated by propagation dynamics are …
connection strength, where binary time series generated by propagation dynamics are …
Detecting hidden nodes in networks based on random variable resetting method
W Jiang, S Wang - Chaos: An Interdisciplinary Journal of Nonlinear …, 2023 - pubs.aip.org
Reconstructing network connections from measurable data facilitates our understanding of
the mechanism of interactions between nodes. However, the unmeasurable nodes in real …
the mechanism of interactions between nodes. However, the unmeasurable nodes in real …
Propagation graph estimation from individuals' time series of observed states
T Hayashi, A Nakamura - Scientific Reports, 2022 - nature.com
Various things propagate through the medium of individuals. Some individuals follow the
others and take the states similar to their states a small number of time steps later. In this …
others and take the states similar to their states a small number of time steps later. In this …
Network reconstruction based on generalized splay state
GY Zhang, YM Mao - Chinese Journal of Physics, 2022 - Elsevier
Complex network is the simplest abstraction of the interaction of the components of the
systems. Reconstructing the full topology of the network from data is a focal problem for …
systems. Reconstructing the full topology of the network from data is a focal problem for …