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Showing 1 - 20 results of 10,288 for search '(( algorithm auditory function ) OR ( ((algorithm python) OR (algorithm based)) function ))', query time: 0.58s Refine Results
  1. 1
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  2. 2
    Python-based Monte Carlo Simulation Tool

    Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

    Published 2024
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  3. 3
    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9.

    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3,... by Quynh-Anh Nguyen (847240)

    Published 2020
    “…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i><sub><i>in</i></sub> neuronal units. …”
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  4. 4
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  5. 5
    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”
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  6. 6
    Classification accuracy as a function of the amount of training data.

    Classification accuracy as a function of the amount of training data. by Dovilė Kurmanavičiūtė (21072549)

    Published 2025
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  7. 7
    Listed python codes of our algorithm with explanations (Python 3.9 recommended).

    Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

    Published 2023
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  8. 8
    Video 5_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 5_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  9. 9
    Video 8_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 8_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  10. 10
    Video 6_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 6_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  11. 11
    Video 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  12. 12
    Supplementary file 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.docx

    Supplementary file 1_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.docx by Hannah James (6551678)

    Published 2025
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  13. 13
    Video 9_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 9_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  14. 14
    Video 3_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 3_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  15. 15
    Video 7_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 7_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  16. 16
    Video 4_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 4_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  17. 17
    Video 2_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4

    Video 2_Biologically informed algorithms for modeling cattle response to auditory cues and driving simulations in virtual fencing systems.mp4 by Hannah James (6551678)

    Published 2025
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  18. 18
    Adaptive H-REMD simulation algorithm.

    Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

    Published 2021
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  19. 19
    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen reference.

    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

    Published 2021
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  20. 20
    Classification accuracy and information transfer rate (ITR) as a function of the measurement set-up and the number of combined trials.

    Classification accuracy and information transfer rate (ITR) as a function of the measurement set-up and the number of combined trials. by Dovilė Kurmanavičiūtė (21072549)

    Published 2025
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