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Showing 121 - 140 results of 792 for search '(( algorithm python function ) OR ( ((algorithms python) OR (algorithms adopted)) function ))*', query time: 0.28s Refine Results
  1. 121
    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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  2. 122
    List of Abbreviations

    List of Abbreviations by Gursimran Singh (575288)

    Published 2025
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  3. 123
    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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  4. 124
    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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  5. 125
    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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  6. 126
    The results of ICA performed using PyNoetic.

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

    Published 2025
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  7. 127
    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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  8. 128
    Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task.

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

    Published 2025
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  9. 129
    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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  10. 130
    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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  11. 131
    Changes adopted by clusters at respective time points.

    Changes adopted by clusters at respective time points. by Muhammad Atif (2575789)

    Published 2022
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  12. 132
    Performance comparison of algorithms in ZDT5 and ZDT6 function tests.

    Performance comparison of algorithms in ZDT5 and ZDT6 function tests. by Tao Dong (15551)

    Published 2025
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  13. 133
    Comparison of algorithm performance in ZDT3 and ZDT4 function tests.

    Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

    Published 2025
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  14. 134
    Comparison of algorithm performance in ZDT1 and ZDT2 function tests.

    Comparison of algorithm performance in ZDT1 and ZDT2 function tests. by Tao Dong (15551)

    Published 2025
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  15. 135
    Step by step workflow for PRLF model training and data scoring.

    Step by step workflow for PRLF model training and data scoring. by John Prindle (10774286)

    Published 2023
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  16. 136
    Prediction results under the association rule algorithm.

    Prediction results under the association rule algorithm. by Yongkang Ding (21807539)

    Published 2025
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  17. 137
    Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ

    Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)

    Published 2025
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  18. 138
    S1 File -

    S1 File - by Yuh-Chin T. Huang (17867207)

    Published 2024
    “…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”
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  19. 139
    S1 Dataset -

    S1 Dataset - by Yuh-Chin T. Huang (17867207)

    Published 2024
    “…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”
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  20. 140
    Algorithmic process of partial convolution.

    Algorithmic process of partial convolution. by Cuiying Yu (18437285)

    Published 2024
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