Showing 81 - 100 results of 152 for search '(( python code representing ) OR ( python effective implementation ))', query time: 0.34s Refine Results
  1. 81

    Sodium binding coefficient R. by Chenglong Gong (20629836)

    Published 2025
    “…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
  2. 82

    Error reduction over time by the HOFA-SMC. by Asra Sarwat (22453794)

    Published 2025
    “…A detailed simulation study is conducted on a full hand model, comprising four 4-degree-of-freedom (DOF) fingers and a 3-DOF thumb, implemented in Python. The controllers are evaluated across three test scenarios: flexion, extension, and ball grasping. …”
  3. 83

    Comparison of SMC techniques. by Asra Sarwat (22453794)

    Published 2025
    “…A detailed simulation study is conducted on a full hand model, comprising four 4-degree-of-freedom (DOF) fingers and a 3-DOF thumb, implemented in Python. The controllers are evaluated across three test scenarios: flexion, extension, and ball grasping. …”
  4. 84

    Proposed HOFA-SMC with experimental validation. by Asra Sarwat (22453794)

    Published 2025
    “…A detailed simulation study is conducted on a full hand model, comprising four 4-degree-of-freedom (DOF) fingers and a 3-DOF thumb, implemented in Python. The controllers are evaluated across three test scenarios: flexion, extension, and ball grasping. …”
  5. 85
  6. 86
  7. 87

    Overview of generalized weighted averages. by Nobuhito Manome (8882084)

    Published 2025
    “…GWA-UCB1 outperformed G-UCB1, UCB1-Tuned, and Thompson sampling in most problem settings and can be useful in many situations. The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…”
  8. 88

    Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model by Jose Zevallos (21379988)

    Published 2025
    “…</li><li>Files starting with <code>y_part</code> are flattened output arrays representing corresponding water depth values.…”
  9. 89

    Moulin distributions during 2016-2021 on the southwest Greenland Ice Sheet by Kang Yang (7323734)

    Published 2025
    “…</p><p><br></p><ul><li>00_Satellite-derived moulins: Moulins directly mapped from Sentinel-2 imagery, representing actual moulin positions;</li><li>01_Snapped moulins: Moulins snapped to DEM-modeled supraglacial drainage networks, primarily used for analyses;</li><li>02_Moulin recurrences: Recurring moulins determined from the snapped moulins;</li><li>03_Internally drained catchments: Internally drained catchment (IDC) associated with each moulin;</li><li>04_Surface meltwater runoff: surface meltwater runoff calculated from MAR for the study area, elevation bins, and IDCs; </li><li>05_DEM-derived: Topographic features modeled from ArcticDEM, including elevation bins, depressions and drainage networks;</li><li>06_GWR: Variables for conducting geographically weighted regression (GWR) analysis;</li></ul><p><br></p><ul><li>Code_01_Mapping moulins on the southwestern GrIS.ipynb: A Jupyter Notebook to analyze moulin distributions, reproducing most of the analyses and figures presented in the manuscript using the provided datasets;</li><li>Code_02_pre1_calculate Strain Rate from XY ice velocity.py: A preprocessing Python script to calculate strain rate for the GWR analysis;</li><li>Code_02_pre2_calculate Driving Stress from ice thickness and surface slope.py: A preprocessing Python script to calculate driving stress for the GWR analysis;</li><li>Code_02_GWR analysis.ipynb: A Jupyter Notebook to conduct the GWR analysis using the provided datasets.…”
  10. 90

    Attention and Cognitive Workload by Rui Varandas (11900993)

    Published 2025
    “…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”
  11. 91

    Audio Datasets of belt conveyor rollers in mines by Juan Liu (19687435)

    Published 2024
    “…</li><li><b>Python Code: </b>This code validates the accuracy and usability of the audio feature datasets in real-time monitoring of belt conveyor roller operational states.…”
  12. 92

    GeoGraphNetworks: Shapefile-Derived Datasets for Accurate and Scalable Graphical Representations by Harish Sharma (18881935)

    Published 2025
    “…The rail line infrastructure of the USA is represented as a single network that covers the entire country and includes connectivity to Canada. …”
  13. 93

    Missing Value Imputation in Relational Data Using Variational Inference by Simon Fontaine (7046618)

    Published 2025
    “…Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. …”
  14. 94

    Missing and Unaccounted-for People in Mexico (1960s–2025) by Montserrat Mora (20430644)

    Published 2025
    “…</li><li><b>Requirements File:</b> A <code>requirements.txt</code> file listing the necessary Python libraries to run the script seamlessly.…”
  15. 95

    Physiotherapist-Assisted Wrist Movement Protocol for EEG-Based Corticokinematic Coherence Assessment by Fanni Kovács (21733838)

    Published 2025
    “…</li></ol><h4><b>Movement File Structure</b></h4><p dir="ltr">Each entry contains:</p><ul><li><code><strong>time</strong></code>: a 32-bit unsigned integer indicating the timestamp in milliseconds,</li><li><code><strong>x</strong></code>, <code><strong>y</strong></code>, <code><strong>z</strong></code>: 16-bit signed integers representing acceleration along the respective axes,</li><li><code><strong>trigger</strong></code>: an 8-bit unsigned integer used to mark event-related triggers for synchronization with the EEG data (e.g., movement onset).…”
  16. 96

    Cognitive Fatigue by Rui Varandas (11900993)

    Published 2025
    “…<br></p><p dir="ltr"><b>HCI features</b> encompass keyboard, mouse, and screenshot data. Below is a Python code snippet for extracting screenshot files from the screenshots CSV file.…”
  17. 97

    <b>Anthropogenic nutrient inputs cause excessive algal growth for nearly half the world’s population</b> by Richard McDowell (7311011)

    Published 2025
    “…</p><p dir="ltr">Models: R code to explore different models for implementation via Python in ArcGIS</p><p dir="ltr">!geotiffs: GeoTIFF raster files at level 6 of HydroBasins for current, zero human effect and the difference between current and zer human effect.…”
  18. 98

    Multisession fNIRS-EEG data of Post-Stroke Motor Recovery: Recordings During Intact and Paretic Hand Movements by Aleksandra Medvedeva (21221383)

    Published 2025
    “…The fNIRS .snirf files are accompanied by event files as .txt tables, containing arrays of event timestamps and corresponding event codes. The code for signal reading, preprocessing, and epoching is provided with the dataset in the “Preprocessing” file. …”
  19. 99

    Digital Twin for Chemical Sciences by Jin Qian (19339035)

    Published 2025
    “…The procedure for generating data in Figure 3 can be found in the demo notebook in Supplementary Code. The procedure for generating data of Figure 4 has been uploaded in fig4_figshare.zip file. …”
  20. 100

    Sonification of Warming Stripes by Christopher Harrison (9448751)

    Published 2025
    “…The sonification was produced using the STRAUSS sonification Python package.</p><p dir="ltr">Here we release:<br>1. …”