Recurrence Plots @recurrenceplot@mastodon.social
Recurrence plots and recurrence quantification analysis
http://www.recurrence-plot.tk/
Joined Sep 2019
Modeling chaotic systems: Dynamical equations vs machine learning approach (comparing #recurrence features)
https://doi.org/10.1016/j.cnsns.2022.106452
The 2013 findings are based on #recurrence_plot analysis.
RT @pucicu@twitter.com
Climate impacts on volcanic hazards https://doi.org/10.1098/rsos.220275
– An unexpected link confirming our surprising finding in EPJST: https://doi.org/10.1140/epjst/e2013-01889-8
RT @ProfMSmall@twitter.com
Shout out to the @recurrenceplot@twitter.com community at @netscisociety@twitter.com #netsci2022 thanks to Naoki Masuda @ComplexSystemsG@twitter.com
🐦🔗: https://twitter.com/ProfMSmall/status/1551930338359787521
Detecting Correlations in Desynchronized Chaotic Chimera States https://doi.org/10.1142/S0218127422300129
Efficient computation of recurrence quantification analysis via microstates https://doi.org/10.1016/j.amc.2022.127175
RT @nicebread303@twitter.com
Open analysis code is a strong (& the best) predictor for successful reproduction of published results: https://www.sciencedirect.com/science/article/pii/S0749596X22000195?via%3Dihub#f0010
While sharing human data sometimes can be difficult, I see no reason not to share the code.
Great paper by Laurinavichyute, Yadav & @ShravanVasishth@twitter.com.
🐦🔗: https://twitter.com/nicebread303/status/1532602887058116611
How does Cannabis consumption change cardiovascular dynamics? A study using #recurrence_plot and #machine_learning: https://doi.org/10.1016/j.irbm.2020.11.001
RT @FredHasselman@twitter.com
Early Warning Signals in Phase Space: Geometric Resilience Loss Indicators From Multiplex Cumulative Recurrence Networks
tl;dr
Using a well-known data set (Wichers & Groot), I show rec nets don't require data aggregation & can be used in real-time
https://www.frontiersin.org/articles/10.3389/fphys.2022.859127/full
1/9
🐦🔗: https://twitter.com/FredHasselman/status/1521779482721460226
Synchronization and chimeras in a network of four ring-coupled thermoacoustic oscillators using #recurrence networks https://doi.org/10.1017/jfm.2022.130
Anticipating synchrony in dynamical systems using (#recurrence_plot based) information theory https://doi.org/10.1063/5.0079255
Studying the effect of direction and strength of magnetic field on fluidization of nanoparticles by recurrence analysis https://doi.org/10.1016/j.apt.2022.103561
A direct method to detect deterministic and stochastic properties of data (using #recurrence_plot) https://doi.org/10.1088/1367-2630/ac5057
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia https://doi.org/10.1016/j.bspc.2022.103639
RT @nodds_lab@twitter.com
First pure NODDS Lab publication on “Transformation cost spectrum for irregularly sampled time series” is available! We propose an alternative method to interpolation to regularize time series with less damage.
https://link.springer.com/article/10.1140/epjs/s11734-022-00512-x?utm_source=xmol&utm[?]affiliate&utm_content=meta&utm_campaign=DDCN_1_GL01_metadata
@khasedutr@twitter.com
🐦🔗: https://twitter.com/nodds_lab/status/1518551922357288961
RT @SujithRI@twitter.com
The next CTCS seminar will feature Prof. Katharina Krischer of @TU_Muenchen@twitter.com who will discuss the cascade from synchronization to turbulence in network of oscillators. Hope to see you on 28 March. Register at: http://ctcs-iitm.com.
RT @SujithRI@twitter.com
This month's CTCS lecture will be delivered by Dr. Louis Pecora of @USNRL@twitter.com on 28 February. Dr. Pecora will discuss the use of reservoir computing for predicting the evolution of dynamical systems. You can register for free at: https://ctcs-iitm.com/blog/. See you all there!
#recurrence_plot analysis of orogenic gold deposits https://doi.org/10.1016/j.oregeorev.2022.104699
RT @pucicu@twitter.com
oh, the y-axis is broken. no idea why. here the correct one:
https://twitter.com/HBuddenbaum/status/1493865749961711620
RT @pucicu@twitter.com
I’m surprised that a default implementation Python has the slowest performance compared to MATLAB, R, or Julia (calculating #recurrence_plot and #recurrence_quantification_analysis) in contrast @pik_copan@twitter.com #pyunicorn is incredibly fast.
Recurrence plots and recurrence quantification analysis
http://www.recurrence-plot.tk/
Joined Sep 2019
