Search alternatives:
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
Showing 221 - 238 results of 238 for search '(( python from implementing ) OR ( ((python tool) OR (python code)) implementation ))', query time: 0.32s Refine Results
  1. 221

    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. …”
  2. 222

    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. …”
  3. 223

    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. …”
  4. 224

    PYSEQM 2.0: Accelerated Semiempirical Excited-State Calculations on Graphical Processing Units by Vishikh Athavale (12623809)

    Published 2025
    “…PYSEQM is a Python-based package designed for efficient and scalable quantum chemical simulations. …”
  5. 225

    Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples by Derek Lam (11944213)

    Published 2025
    “…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …”
  6. 226

    Copy number contingency table. by Yang Wu (66682)

    Published 2025
    “…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
  7. 227

    Gene mutation contingency table. by Yang Wu (66682)

    Published 2025
    “…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
  8. 228

    Resistant & sensitive cell line Info on AZD5991. by Yang Wu (66682)

    Published 2025
    “…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
  9. 229

    Resistant & sensitive drug info on COLO800. by Yang Wu (66682)

    Published 2025
    “…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
  10. 230

    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. …”
  11. 231

    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. …”
  12. 232

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
    “…The proposed DIDS-BRBPNN-BBWOA-IoT method is implemented using Python. The performance of the DIDS-BRBPNN-BBWOA-IoT approach is examined using performance metrics like accuracy, precision, recall, f1-score, specificity, error rate; computation time, and ROC. …”
  13. 233

    SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

    Published 2025
    “…(B) Implementation of SpatialKNifeY (SKNY). A Python library of SKNY depends on stlearn [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref023" target="_blank">23</a>] and scanpy [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref009" target="_blank">9</a>] functions (see “Methods”) and AnnData object programming [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref010" target="_blank">10</a>]. …”
  14. 234

    CNG-ARCO-RADAR.pdf by Alfonso Ladino (21447002)

    Published 2025
    “…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …”
  15. 235

    “Genie Replication Package: Resolution of Kryptos K4 via Berlin Clock Route and Substitution Funnel” by Alan Glanz (22109698)

    Published 2025
    “…</li></ul></li></ol><h3>Contributions</h3><ul><li>Provides a <b>self-contained Python package</b> enabling independent replication and stress-testing of the solution.…”
  16. 236

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

    Published 2025
    “…</p><p dir="ltr">The perceptual decision-making data were collected from 5 different cohorts of mice at different time-points during their active phase of the day. …”
  17. 237

    Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018) by ChenXi Zhu (21374876)

    Published 2025
    “…</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…”
  18. 238

    Mapping Policy Coherence in National UK Food Systems (2008– 2024): Analysing the Integration of Climate Change Mitigation and Adaptation Strategies, LEAP 2025 conference, Oxford by Ronja Teschner (20974180)

    Published 2025
    “…</p><p dir="ltr">This study aims to:</p><p dir="ltr">1) Identify and map UK national food policies regarding climate change mitigation and adaption strategies from 2008 - 2024.</p><p dir="ltr">2) Highlight departments responsible for publication, thematic areas addressed in the policies, policy objectives and implementation strategies.…”