يعرض 221 - 240 نتائج من 280 نتيجة بحث عن '(( python model implementation ) OR ( python from implementing ))', وقت الاستعلام: 0.29s تنقيح النتائج
  1. 221

    OHID-FF dataset for forest fire detection and classification حسب xin chen (20496938)

    منشور في 2025
    "…</p><p dir="ltr">- For binary classification experiments with the included scripts:</p><p dir="ltr">```bash</p><p dir="ltr">python "train val scripts/main.py"</p><p>```</p><p dir="ltr"><br></p><p dir="ltr">Results and logs from training runs are saved under `results/` (see the scripts folder README for details).…"
  2. 222

    Research Database حسب Ana Paula Fermiano (22439479)

    منشور في 2025
    "…</p><p dir="ltr">Statistical analysis was conducted through <b>multiple regression models</b> implemented in <b>Jamovi</b>, supported by Geographic Information System (GIS) tools to visualize spatial patterns. …"
  3. 223

    Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

    منشور في 2025
    "…GUI, pre/post-processing) is available upon request from the authors and is not included here.</i></li></ul></li><li><b>README.txt</b> – detailed file explanations and usage instructions</li></ul><p dir="ltr">The full statistical analysis and visualization pipeline is implemented in R and hosted on GitHub:<br>https://github.com/Birdy332/Automatic-fish-scale-analysis-r-scripts</p><p dir="ltr"><br></p><p dir="ltr">All figures shown in the manuscript can be reproduced using these scripts and the datasets provided here.…"
  4. 224

    Leveraging explainable causal artificial intelligence to study forest gross primary productivity dynamics in China's protected areas حسب Pedro Cabral (18947566)

    منشور في 2025
    "…<p dir="ltr">A Python script used for modeling forest GPP in China´s Protected Areas, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), implementation of four machine learning models to predict forest GPP, XAI and causality analysis.…"
  5. 225

    PTPC v1.0 Numerical Baseline: Stable Multi-Bounce Cosmology Simulation حسب David Lewis Stewart Parry (22188211)

    منشور في 2025
    "…PTPC v1.0 Numerical Baseline: Stable Multi-Bounce Cosmology Simulation This release provides the complete, reproducible numerical implementation of the Parry Tensional Phase Collapse (PTPC) model — the dynamic core of the Universal Heartbeat Theory (UHT/PTPC). …"
  6. 226

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

    منشور في 2025
    "…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"
  7. 227

    MSc Personalised Medicine at Ulster University حسب Steven Watterson (100045)

    منشور في 2025
    "…</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.…"
  8. 228

    Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

    منشور في 2025
    "…In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. …"
  9. 229

    Summary of Tourism Dataset. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  10. 230

    Segment-wise Spending Analysis. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  11. 231

    Hyperparameter Parameter Setting. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  12. 232

    Marketing Campaign Analysis. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  13. 233

    Visitor Segmentation Validation Accuracy. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  14. 234

    Integration of VAE and RNN Architecture. حسب Jing Zhang (23775)

    منشور في 2025
    "…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
  15. 235

    Table 1_Analysis of distribution equilibrium and influencing factors for older adult meal service facilities in mainland China.xlsx حسب Feng Wang (44414)

    منشور في 2025
    "…A multiple linear regression model was applied to explore the relationships between older adult meal services and factors such as population, economy, infrastructure, geography, and policies.…"
  16. 236

    RabbitSketch حسب tong zhang (20852432)

    منشور في 2025
    "…RabbitSketch achieves significant speedups compared to existing implementations, ranging from 2.30x to 49.55x.In addition, we provide flexible and easy-to-use interfaces for both Python and C++. …"
  17. 237

    IGD-cyberbullying-detection-AI حسب Bryan James (19921044)

    منشور في 2024
    "…[<a href="https://doi.org/10.6084/m9.figshare.27266961" rel="nofollow" target="_blank">https://doi.org/10.6084/m9.figshare.27266961</a>]</p><h2>Table of Contents</h2><ul><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#overview" target="_blank">Overview</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#requirements" target="_blank">Requirements</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#datasets" target="_blank">Datasets</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#installation" target="_blank">Installation</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#running-the-code" target="_blank">Running the Code</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#expected-results" target="_blank">Expected Results</a></li></ul><h2>Overview</h2><p dir="ltr">This repository provides the code for predicting mental health outcomes associated with Internet Gaming Disorder (IGD) and Cyberbullying using machine learning and deep learning models. Models like Logistic Regression, Random Forest, Ensemble Models, CNNs, and LSTMs are implemented to detect patterns from behavioral data.…"
  18. 238

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

    منشور في 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.…"
  19. 239

    Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats حسب Raul MATSUSHITA (10276562)

    منشور في 2024
    "…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …"
  20. 240

    Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks حسب NORLIZA BINTI MOHAMED (20739875)

    منشور في 2025
    "…Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …"