Showing 301 - 320 results of 351 for search '(( algorithm where function ) OR ( algorithm python function ))*', query time: 0.19s Refine Results
  1. 301

    A Machine-Insight-Based Geocomputational Approach to Decode the Complexities of the Restless Landscapes: Toward Integration of Imaginations and Planning Interventions by Nilanjan Bal (21727652)

    Published 2025
    “…The findings suggest four peripheral settlement clusters where the Gaussian mixture model confirms the reliability. …”
  2. 302

    Bayesian Calibration of the 40K Decay Scheme and its implications for 40K-based geochronology by John Carter (14649908)

    Published 2024
    “…This file contains: 238U/206Pb - measured ratios, uncertainties, and MSWD (where available); 235U/207Pb - measured ratios, uncertainties, and MSWD (where available); RX_FCs - measured ratios, uncertainties, and MSWD (where available). …”
  3. 303

    Particle swarm optimization method for energy management of the hybrid system of an electric vehicle charging station by Olukorede Adenuga (20139099)

    Published 2024
    “…The thesis provides economic power dispatch (EPD) and optimal power flow (OPF) optimization solutions based on uncertainty costs for renewable generation and its application on economic dispatch. PSO algorithms in the thesis applied uncertainty cost function with and without RESs, test cases where EVCSs loading were integrated with optimally sized RESs in the IEEE 14-bus, IEEE 30-bus and IEEE 118-bus distribution testbed. …”
  4. 304

    Equivalent Mutants Analysed via Deductive Verification by Serge Demeyer (5133878)

    Published 2025
    “…In particular, the code under test must satisfy the RIPR criterion (reach - infect - propagate - reveal); where the reveal part means we should be able to manipulate the result via the output of a function. …”
  5. 305

    Data Sheet 1_The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin.pdf by Imre M. Jánosi (7480598)

    Published 2025
    “…The paper demonstrates that cubic spline fits and down-sampling (where necessary) produce reliable, evenly sampled time series that smoothly reconstruct water level and river discharge data. …”
  6. 306

    Performance comparison of four optimization methods. by Xuexing Du (20624042)

    Published 2025
    “…(B) Relative error convergence of four optimization methods, plotted as a function of the logarithm of iterations. The relative error is calculated as , where <b>x</b><sub><i>o</i></sub> is the target solution and is the estimation. …”
  7. 307

    Daniel Jaschke - Talk "Quantum computing @ INFN" (2024) by Daniel Jaschke (17341783)

    Published 2024
    “…Quantum red TEA out of the Quantum TEA library specifically addresses handling tensors with different libraries or hardware, where the tensors are the building block of tensor network algorithms. …”
  8. 308

    Matlab source codes by Kyung-Chan Kim (7469375)

    Published 2025
    “…The package consists of six MATLAB source files, each with the following functions:</p><p dir="ltr"><b>1.</b><b> </b><b>tracer_main.m</b><br>The main program. …”
  9. 309

    Table 1_Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing.xlsx by Junglim Choi (22045838)

    Published 2025
    “…</p>Conclusion<p>The results suggest a possible function of these newly identified genes in the development of peg lateralis, which remains to be defined. …”
  10. 310

    Supplementary file 1_Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing.docx by Junglim Choi (22045838)

    Published 2025
    “…</p>Conclusion<p>The results suggest a possible function of these newly identified genes in the development of peg lateralis, which remains to be defined. …”
  11. 311

    Data Sheet 1_Impaired and restored CD8+ T cell responses to a sequentially mutated spike epitope in Omicron variants.docx by Eun Joo Chung (9678137)

    Published 2025
    “…This effect was mitigated by BA.1/BA.2 breakthrough infection and appears unlikely to persist in the currently dominant NB.1.8.1 lineage, where the LYN sequence remains conserved. Our findings suggest that LYN may function both as an immune-evasive hotspot and as a cross-reactive epitope, underscoring the importance of continued epitope-level surveillance as future variants emerge.…”
  12. 312

    Table 1_Exploring the role of TikTok for intersectionality marginalized groups: the case of Muslim female content creators in Germany.docx by Fatima El Sayed (20146977)

    Published 2024
    “…They shape the platform’s functionalities through creative use, while TikTok’s algorithm and virality logic drive creators to blend entertainment with personal content. …”
  13. 313

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

    Published 2025
    “…</p><h2>Project Structure</h2><pre><pre>Perception_based_neighbourhoods/<br>├── raw_data/<br>│ ├── ET_cells_glasgow/ # Glasgow grid cells for analysis<br>│ └── glasgow_open_built/ # Built area boundaries<br>├── svi_module/ # Street View Image processing<br>│ ├── svi_data/<br>│ │ ├── svi_info.csv # Image metadata (output)<br>│ │ └── images/ # Downloaded images (output)<br>│ ├── get_svi_data.py # Download street view images<br>│ └── trueskill_score.py # Generate TrueSkill scores<br>├── perception_module/ # Perception prediction<br>│ ├── output_data/<br>│ │ └── glasgow_perception.nc # Perception scores (demo data)<br>│ ├── trained_models/ # Pre-trained models<br>│ ├── pred.py # Predict perceptions from images<br>│ └── readme.md # Training instructions<br>└── cluster_module/ # Neighbourhood clustering<br> ├── output_data/<br> │ └── clusters.shp # Final neighbourhood boundaries<br> └── cluster_perceptions.py # Clustering algorithm<br></pre></pre><h2>Prerequisites</h2><ul><li>Python 3.8 or higher</li><li>GDAL/OGR libraries (for geospatial processing)</li></ul><h2>Installation</h2><ol><li>Clone this repository:</li></ol><p dir="ltr">Download the zip file</p><pre><pre>cd perception_based_neighbourhoods<br></pre></pre><ol><li>Install required dependencies:</li></ol><pre><pre>pip install -r requirements.txt<br></pre></pre><p dir="ltr">Required libraries include:</p><ul><li>geopandas</li><li>pandas</li><li>numpy</li><li>xarray</li><li>scikit-learn</li><li>matplotlib</li><li>torch (PyTorch)</li><li>efficientnet-pytorch</li></ul><h2>Usage Guide</h2><h3>Step 1: Download Street View Images</h3><p dir="ltr">Download street view images based on the Glasgow grid sampling locations.…”
  14. 314

    Table 1_Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth... by Jiahe Liu (9096353)

    Published 2025
    “…Our study aimed to examine the risk factors associated with IA among Chinese children and adolescents and leverage explainable machine learning (ML) algorithms to predict IA status at the time of assessment, based on Young’s Internet Addiction Test.…”
  15. 315

    Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization by Sandeep Jagonda Patil (22048337)

    Published 2025
    “…<p>Mobile ad hoc networks (MANETs) facilitate rapid deployment due to independence from established infrastructure, relying instead on wireless technology where each node functions as a source, destination, or intermediary router. …”
  16. 316

    MCCN Case Study 2 - Spatial projection via modelled data by Donald Hobern (21435904)

    Published 2025
    “…This study demonstrates: 1) Description of spatial assets using STAC, 2) Loading heterogeneous data sources into a cube, 3) Spatial projection in xarray using different algorithms offered by the <a href="https://pypi.org/project/PyKrige/" rel="nofollow" target="_blank">pykrige</a> and <a href="https://pypi.org/project/rioxarray/" rel="nofollow" target="_blank">rioxarray</a> packages.…”
  17. 317

    Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf by Guangzong Li (16696443)

    Published 2025
    “…Eleven ML algorithms were trained and validated using Python, and external validation and performance evaluations were conducted. …”
  18. 318

    DataSheet2_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

    Published 2024
    “…Examined substitutions might disrupt the Dicer function, which was demonstrated by molecular dynamic simulation, where distinct structural alterations were observed for each mutation. …”
  19. 319

    DataSheet2_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

    Published 2024
    “…Examined substitutions might disrupt the Dicer function, which was demonstrated by molecular dynamic simulation, where distinct structural alterations were observed for each mutation. …”
  20. 320

    DataSheet1_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

    Published 2024
    “…Examined substitutions might disrupt the Dicer function, which was demonstrated by molecular dynamic simulation, where distinct structural alterations were observed for each mutation. …”