Showing 101 - 116 results of 116 for search '(( python time implementation ) OR ( python plot representing ))', query time: 0.44s Refine Results
  1. 101

    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. …”
  2. 102

    Sonification of Warming Stripes by Christopher Harrison (9448751)

    Published 2025
    “…A zip file containing all of the scripts (in the form of Python Jupyter notebooks) that were used to produce the sonification, and the plots for the explanation article (Sonification Warming Stripes.pdf). …”
  3. 103

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

    Published 2025
    “…Each color represents a distinct cluster.</p><p dir="ltr"><b>Code to generate:</b></p><pre><pre>import geopandas as gpd<br>import matplotlib.pyplot as plt<br><br>gdf = gpd.read_file('.…”
  4. 104

    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

    Published 2025
    “…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…”
  5. 105

    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

    Published 2025
    “…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…”
  6. 106

    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. …”
  7. 107

    Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. …”
  8. 108

    Scripts for pairwise nucleotide identity graphs by NEIL YOUNG (1140230)

    Published 2024
    “…Next, a pairwise nucleotide distance matrix was built using a custom python script is available in this folder entitled 'distance'. …”
  9. 109

    (A) Sampling locations and ranges of <i>I. feisthamelii</i> (purple) and <i>I. podalirius</i> (teal) butterflies. by Sam Ebdon (21072525)

    Published 2025
    “…(B) Sampling locations of butterflies from the <i>Iphiclides</i> HZ. The dashed line represents the approximate HZ center, based on samples collected by Lafranchis et al. …”
  10. 110

    Data Sheet 1_COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices.pdf by Rafael Pereira Lemos (9104911)

    Published 2025
    “…COCαDA demonstrated superior performance compared to the other methods, achieving on average 6x faster computation times than advanced data structures like k-d trees from NS, in addition to being simpler to implement and fully customizable. …”
  11. 111

    VPS13C contributes to ER-SCV contact formation. by Anna K. Waldmann (22250729)

    Published 2025
    “…<p>a, Representative images of random 2D TEM sections of <i>VPS13C</i> KO and control HeLa cells. …”
  12. 112

    <b>Engineered Muscle-Derived Extracellular Vesicles Boost Insulin Sensitivity and Glucose Regulation</b> by Hagit Shoyhet (21090650)

    Published 2025
    “…Proteomic analyses were run with Python-V3.9.2 miRNA and protein figures were plotted using R</p>…”
  13. 113

    <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. …”
  14. 114

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …”
  15. 115

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …”
  16. 116

    Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by Andrew Rogers (17623239)

    Published 2025
    “…</p><h2>Software and Spatial Resolution</h2><p dir="ltr">The VRE siting model is implemented using Python and relies heavily on ArcGIS for comprehensive spatial data handling and analysis.…”