يعرض 61 - 80 نتائج من 108 نتيجة بحث عن '(( python code representing ) OR ( python modular implementation ))', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 61

    Soulware-Lite حسب Abhiram Gnyanijaya (21572942)

    منشور في 2025
    "…</p><p><br></p><p dir="ltr">The system is fully modular, built on Python + FastAPI, and integrated with Streamlit UI for visualizing alignment confidence and drift flags. …"
  2. 62

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

    منشور في 2025
    "…</li><li>Files starting with <code>y_part</code> are flattened output arrays representing corresponding water depth values.…"
  3. 63

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

    منشور في 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.…"
  4. 64

    Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data حسب Jeanette Leue (22470409)

    منشور في 2025
    "…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …"
  5. 65

    Attention and Cognitive Workload حسب Rui Varandas (11900993)

    منشور في 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.…"
  6. 66

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

    منشور في 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.…"
  7. 67

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

    منشور في 2025
    "…The rail line infrastructure of the USA is represented as a single network that covers the entire country and includes connectivity to Canada. …"
  8. 68

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

    منشور في 2025
    "…</li><li><b>Requirements File:</b> A <code>requirements.txt</code> file listing the necessary Python libraries to run the script seamlessly.…"
  9. 69

    Reinforcement Learning based traffic steering inOpen Radio Access Network (ORAN)- oran-ts GitHub Repository حسب Aaradhy Sharma (21503465)

    منشور في 2025
    "…<p dir="ltr">This repository contains the simulation codebase for research on <b>Reinforcement Learning (RL) based Traffic Steering and Resource Allocation in Open Radio Access Networks (O-RAN)</b>. It features a modular Python framework implementing various RL agents (Q-Learning, SARSA, N-Step SARSA, DQN) and a traditional baseline evaluated in a realistic cellular network environment. …"
  10. 70

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

    منشور في 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).…"
  11. 71

    Cognitive Fatigue حسب Rui Varandas (11900993)

    منشور في 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.…"
  12. 72

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

    منشور في 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. …"
  13. 73

    Digital Twin for Chemical Sciences حسب Jin Qian (19339035)

    منشور في 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. …"
  14. 74

    Sonification of Warming Stripes حسب Christopher Harrison (9448751)

    منشور في 2025
    "…The sonification was produced using the STRAUSS sonification Python package.</p><p dir="ltr">Here we release:<br>1. …"
  15. 75

    Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning حسب Baptista Boanha (22424668)

    منشور في 2025
    "…Six Python scripts are provided, each implementing a distinct machine learning algorithm—Random Forest, k-Nearest Neighbors (k-NN), Multi-Layer Perceptron (MLP), Decision Tree, Naïve Bayes, and Logistic Regression. …"
  16. 76

    Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx حسب Piyachat Udomwong (22563212)

    منشور في 2025
    "…The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…"
  17. 77

    Supplementary material for "Euler inversion: Locating sources of potential-field data through inversion of Euler's homogeneity equation" حسب Leonardo Uieda (97471)

    منشور في 2025
    "…</p><h2>License</h2><p dir="ltr">All Python source code (including <code>.py</code> and <code>.ipynb</code> files) is made available under the MIT license. …"
  18. 78

    Sonification of Growing Black Hole حسب Rose Shepherd (20328444)

    منشور في 2024
    "…We used the open source Python package STRAUSS to produce the sonification (Trayford and Harrison 2023). …"
  19. 79

    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

    منشور في 2025
    "…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…"
  20. 80

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

    منشور في 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>.…"