17 skills found
laszukdawid / Recurrence PlotSImple Python implemention of recurrence plot for a time series.
bmfreis / Recurrence PythonScientific software written in Python 3 for the creation of Recurrence Plot (RP), Cross Recurrence Plot (CRP), and Joint Recurrence Plot (JRP). It also allows the quantification analysis of RP.
lulujianjie / Robust Single Accelerometer Based Activity Recognition Using Modified Recurrence PlotNo description available
atabas / Heartbeat ClassificationClassify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images
a-paxton / Crqa Tools And MoreTutorials and tools to help with RQA and CRQA in R.
aaronfbianchi / LSaO VisualizerLSaO Visualizer: Extremely violent and fast audio visualization tool
pucicu / RpMATLAB scripts to create recurrence plots and to perform recurrence quantification analysis.
morenococo / CrqaCross-recurrence quantification analysis of two time-series, of either categorical or continuous values. It provides different methods for profiling cross-recurrence, i.e., only looking at the diagonal recurrent points, as well as more in-depth measures of the whole cross-recurrence plot, e.g., recurrence rate.
crocodilegogogo / MSRP IFCN PR2022Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks
hasanisaeed / Recurrence Plot PyAn advanced technique of nonlinear data analysis
williamsdoug / CTG RPML/DL analysis of Cardiotocograph (CTG) traces using Recurrence Plot
pucicu / RP Speed TestCode to get the calculation speed for recurrence plots/ recurrence quantification analysis using MATLAB, R, Python, and Julia code.
aaivu / Aaivu Pump And Dump Detection Crypto CurrenciesInspired by the immense success shown by artificial neural networks in computer vision on images classification, we propose a novel framework to detect one of the rife fraudulent financial manipulations in crypto currency trading world known as pump and dump. The representation of crypto currency financial charts was re-imagined to ameliorate the classification by taking advantage of some of the very recent advancements of time series to spatial encoding techniques of Gramian Angular Field (GAF), Markov Transition Field (MTF) and Recurrence plots (RP) that are capable of spatially encoding the temporal financial time series data in the form of images. Encoded images were then used to train several convolutional neural network architectures which have been able to achieve a very high precision, recall and F1 values close to 99% over the unseen data for the above classification task. This is one of the first of such researches in pump and dump detection in crypto currencies using computer vision. This approach has the potential to be extended in detecting predefined shapes of time series charts.
walwe / RpsppImplementation of high sample rate appliance identification using recurrence plots and a spacial pyramid pooling neural network.
carlwitt / RecurrencePlotsCustom Time Series Analysis and Visualization with Recurrence Quantification
agnaldoae / SimpleRPTesting Recurrence Plots theory
UCL-Research-Department-of-Pathology / PanConusigTools for copy number signature analysis of allele-specific copy number profiles. Includes: matrix generation, simulation of CN profiles, plotting of CN profiles, artificial genome doubling of signatures, assignment of signatures to segments, enumeration of recurrence of signatures across the genome, plotting of signature definitions, simulation of signature recurrence.
