Results 161 to 170 of about 6,150,680 (182)

Multifaceted DDoS Attack Prediction by Multivariate Time Series and Ordinal Patterns

2024 IEEE International Conference on Communications Workshops (ICC Workshops)
Distributed Denial of Service (DDoS) attacks are recurrent threats, reaching unprecedented malicious network traffic volume and speed against targets. Predicting attacks is paramount to reduce costs in mitigating or remediating them.
Ligia F. Borges, Anderson Bergamini de Neira, Lucas Albano, Michele Nogueira Lima   +3 more
semanticscholar   +1 more source

Temporal assessment of terrain complexity through ordinal patterns in LiDAR data

2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
We use permutation entropy to decipher the intricacies of terrain complexity within Wellington, New Zealand, over two pivotal periods. We establish a link between entropy variations and the spectrum of environmental and anthropogenic influences ...
Keila Barbosa, Alejandro C. Frery
semanticscholar   +1 more source

Ordinal pattern based similarity analysis for EEG recordings

Clinical Neurophysiology, 2010
Ordinal patterns analysis such as permutation entropy of the EEG series has been found to usefully track brain dynamics and has been applied to detect changes in the dynamics of EEG data. In order to further investigate hidden nonlinear dynamical characteristics in EEG data for differentiating brain states, this paper proposes a novel dissimilarity ...
Gaoxiang, Ouyang, Chuangyin, Dang, Douglas A, Richards, Xiaoli, Li   +3 more
openaire   +2 more sources

Characterizing complexity of non-invertible chaotic maps in the Shannon–Fisher information plane with ordinal patterns

, 2020
Being able to distinguish the different types of dynamics present in a given nonlinear system is of great importance in complex dynamics. It allows to characterize the system, find similarities and differences with other nonlinear systems, and classify ...
David Spichak, Audrey Kupetsky, A. Aragoneses   +2 more
semanticscholar   +1 more source

Learning and distinguishing time series dynamics via ordinal patterns transition graphs

Applied Mathematics and Computation, 2019
Strategies based on the extraction of measures from ordinal patterns transformation, such as probability distributions and transition graphs, have reached relevant advancements in distinguishing different time series dynamics. However, the reliability of
João B. Borges Neto, Heitor S. Ramos, R. Mini, O. Rosso, A. Frery, A. Loureiro   +5 more
semanticscholar   +1 more source

Pipelined reconfigurable accelerator for ordinal pattern encoding

2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors, 2014
Ordinal analysis is a statistical method for analysing the complexity of time series. This method has been used in characterising dynamic changes in time series, with various applications such as financial risk modelling and biomedical signal processing. Ordinal pattern encoding is a fundamental calculation in ordinal analysis.
Ce Guo, Wayne Luk, Stephen Weston
openaire   +1 more source

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks

IEEE Transactions on Medical Imaging, 2018
Brain connectivity networks based on magnetic resonance imaging (MRI) or functional MRI (fMRI) data provide a straightforward way to quantify the structural or functional systems of the brain. Currently, there are several network descriptors developed for representing and analyzing brain connectivity networks.
Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu   +5 more
openaire   +2 more sources

Revisiting the decay of missing ordinal patterns in long-term correlated time series

Physica A: Statistical Mechanics and its Applications, 2019
We revisit the decay of missing ordinal patterns in long-term correlated time series. More precisely, a stretched exponential model is proposed to describe more appropriately how the number of missing ordinal patterns decreases as a function of the time ...
F. Olivares, L. Zunino, D. Pérez
semanticscholar   +1 more source

Two-phase flow pattern transition behaviors on experimental established ordinal pattern networks

Chaos: An Interdisciplinary Journal of Nonlinear Science
Identifying the flow pattern transition dynamics is a fundamental challenge in modeling a two-phase flow system. In this paper, we investigate the gas–liquid two-phase flow pattern transition behaviors with analyzing the topology structures of the experimental established gas–liquid two-phase flow complex networks.
Meng Du, Zhenqian Zhang, Yang Cao, Yuliang Liu, Weidong Cao, Zhong-Ke Gao   +5 more
openaire   +2 more sources

Using spatial ordinal patterns for non-parametric testing of spatial dependence

Spatial Statistics, 2023
Christian H. Weiß, Hee-Young Kim
semanticscholar   +1 more source