Showing 141 - 160 results of 244 for search '(( python model implementing ) OR ( python xlink implementing ))', query time: 0.46s Refine Results
  1. 141

    DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF by Shivani V. Pawar (20355171)

    Published 2024
    “…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”
  2. 142

    face recognation with Flask by Muammar, SST, M.Kom (21435692)

    Published 2025
    “…Built using the <b>Flask</b> web framework (Python), this system provides a lightweight and scalable solution for implementing facial recognition capabilities in real-time or on-demand through a browser interface.…”
  3. 143
  4. 144

    Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif by Xiaobing Li (291454)

    Published 2025
    “…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …”
  5. 145

    Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif by Xiaobing Li (291454)

    Published 2025
    “…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …”
  6. 146

    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. …”
  7. 147

    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. …”
  8. 148

    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. …”
  9. 149
  10. 150

    Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning by Joan Alexander (17047170)

    Published 2025
    “…Establishing a framework for implementing and testing ML-based parameterizations in atmospheric models. …”
  11. 151

    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis by Alan Glanz (22109698)

    Published 2025
    “…</b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.</p><h3><b>2. …”
  12. 152

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

    Published 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.…”
  13. 153

    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. 154

    Data and software for "Social networks affect redistribution decisions and polarization" by Milena Tsvetkova (11217969)

    Published 2025
    “…</p><p dir="ltr">The repository contains data in .csv and .xlsx format, model code in .nlogox Netlogo format, analysis code in .ipynb Jupyter notebooks, and helping code in .py Python files.…”
  15. 155

    Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025) by Richard Laugesen (6480371)

    Published 2025
    “…<br></p><p dir="ltr">Journal paper introduces RUVPY, a Python software library which implements the Relative Utility Value (RUV) method. …”
  16. 156
  17. 157

    Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees by Mohamad Elmasri (19421498)

    Published 2024
    “…We find that our parallel sampler yields improved mixing properties in comparison to the single-move variate, and outperforms current state-of-the-art methods in terms of accuracy and computational efficiency. The implementation of our work is available in the Python package parallelDG. …”
  18. 158

    <b>Altered cognitive processes shape tactile perception in autism.</b> (data) by Ourania Semelidou (19178362)

    Published 2025
    “…The perceptual decision-making setup was controlled by Bpod (Sanworks) through scripts in Python (PyBpod, https://pybpod.readthedocs.io/en/latest/). …”
  19. 159

    Cathode carbon block material parameters [14]. 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. …”
  20. 160

    Sodium concentration distribution cloud map. 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. …”