PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. حسب Gursimran Singh (575288)

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PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... حسب Gursimran Singh (575288)

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Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. حسب Gursimran Singh (575288)

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List of Abbreviations حسب Gursimran Singh (575288)

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PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. حسب Gursimran Singh (575288)

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PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. حسب Gursimran Singh (575288)

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Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

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The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. حسب Gursimran Singh (575288)

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Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. حسب Gursimran Singh (575288)

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Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. حسب Gursimran Singh (575288)

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A typical BCI system depicting the flow and processing of EEG data. حسب Gursimran Singh (575288)

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<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median... حسب Kevin J. Wischnewski (21354521)

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"

Kinematics timeries and features of cluster 1 before and one year after surgery. حسب Xavier Gasparutto (8374578)

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Kinematics timeries and features of cluster 3 before and one year after surgery. حسب Xavier Gasparutto (8374578)

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Spatiotemporal parameters for patients clusters (before and one year after surgery) and control group. حسب Xavier Gasparutto (8374578)

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Characteristics and patients reported outcomes for patient clusters before and one year after surgery compared to the control group. حسب Xavier Gasparutto (8374578)

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Implant characteristics of the whole cohort, datasets and clusters. حسب Xavier Gasparutto (8374578)

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Kinematics timeseries and features for patients clusters, with between clusters comparison. حسب Xavier Gasparutto (8374578)

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