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Showing 81 - 100 results of 816 for search '(( ((python model) OR (python code)) presented ) OR ( python pre implementation ))', query time: 0.33s Refine Results
  1. 81
    Python notebook covering the <i>Borana model</i> analysis.

    Python notebook covering the <i>Borana model</i> analysis. by Colin Thomas (7216820)

    Published 2022
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  2. 82
    Python code for a stratified random sampling of circular economy indicators

    Python code for a stratified random sampling of circular economy indicators by Zahir Barahmand (18008947)

    Published 2025
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  3. 83
    Slides: A better strategy for interpolating gravity and magnetic data

    Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

    Published 2020
    “…</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”
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  4. 84
    I’m a Software Carpentry Graduate - now what?

    I’m a Software Carpentry Graduate - now what? by Rowland Mosbergen (7533140)

    Published 2019
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  5. 85
    Theia_density.ipynb

    Theia_density.ipynb by Qian Yuan (9996590)

    Published 2021
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  6. 86
    Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the common average.

    Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

    Published 2025
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  7. 87
    PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.

    PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

    Published 2025
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  8. 88
    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback.

    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

    Published 2025
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  9. 89
    PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity measures.

    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... by Gursimran Singh (575288)

    Published 2025
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  10. 90
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  11. 91
    Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering.

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

    Published 2025
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  12. 92
    List of Abbreviations

    List of Abbreviations by Gursimran Singh (575288)

    Published 2025
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  13. 93
    PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP.

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

    Published 2025
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  14. 94
    PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared.

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

    Published 2025
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  15. 95
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

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

    Published 2025
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  16. 96
    The results of ICA performed using PyNoetic.

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

    Published 2025
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  17. 97
    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.

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

    Published 2025
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  18. 98
    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks.

    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

    Published 2025
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  19. 99
    Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module.

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

    Published 2025
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  20. 100
    A typical BCI system depicting the flow and processing of EEG data.

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

    Published 2025
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