Showing 281 - 300 results of 322 for search '(( ((python model) OR (python code)) implementation ) OR ( python practical applications ))', query time: 0.44s Refine Results
  1. 281

    Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng (8145294)

    Published 2025
    “…The new expressions for the GP, GV, and GGT of a vertical cylindrical prism using the second-order 3D Taylor series expansion and a cylindrical shell are provided for practical applications of gravity forward modeling in the Python language at the GitHub website <a href="https://www.github.com/xiaoledeng/optimized-formulas-of-gp-gv-ggt" target="_blank">https://www.github.com/xiaoledeng/optimized-formulas-of-gp-gv-ggt</a>.…”
  2. 282

    Electrical Tactile Dataset (Piezoelectric and Accelerometer) for textures by Dexter Shepherd (13238508)

    Published 2025
    “…This dataset aims to enhance the understanding of texture perception and improve the performance of tactile sensing systems in practical applications.</p><p dir="ltr"><b>About this file</b></p><p dir="ltr">This is a dataset made up of a piezoelectric and accelerometer tactile sensors being dragged across a surface at varying pressures. …”
  3. 283

    <b>Environmental Footprint and Nutritional Intake of 1,000 Sichuan and Cantonese Cuisines</b> by Yin Long (8395239)

    Published 2025
    “…This resource is valuable for studies and applications aimed at promoting sustainable eating practices based on regional culinary traditions.…”
  4. 284

    Soulware-Lite by Abhiram Gnyanijaya (21572942)

    Published 2025
    “…It supports OpenAI GPT-4, Anthropic Claude, Google Gemini, Meta LLaMA, and other open-source models.</p><p><br></p><p dir="ltr">Soulware-Lite is the first live implementation of a cognitive conscience layer, born from architectural failures in AI output hallucination and anchored by integrity principles like MAP/ARP and RDIP. …”
  5. 285

    Table 3_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…”
  6. 286

    Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…”
  7. 287

    Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…”
  8. 288

    Data Sheet 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…”
  9. 289

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

    Published 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. …”
  10. 290

    Presentations of the Summer School - Satellite-Based Hydrological Data Assimilation by Maike Schumacher (8023076)

    Published 2025
    “…Practical sessions to use Python and Matlab for post processing satellite gravity data were given by <a href="https://www.linkedin.com/in/cakancagatay/" target="_blank">Çağatay Çakan</a> (Aalborg University, AAU) and <a href="https://www.linkedin.com/in/nooshin-mehrnegar-99baa8151/" target="_blank">Nooshin Mehrnegar</a> (Aalborg University, AAU).…”
  11. 291

    Optical Tactile (TacTip) Dataset for texture classification by Dexter Shepherd (13238508)

    Published 2025
    “…By providing both spatial and temporal dimensions of texture data, this dataset aims to enhance the understanding of texture perception and improve the performance of tactile sensing systems in practical applications.</p><p><br></p><p dir="ltr"><b>About this file</b></p><p dir="ltr">This is a dataset made up of optical tactile sensors being dragged across a surface at varying pressures. …”
  12. 292

    Gene Editing using Transformer Architecture by Rishabh Garg (5261744)

    Published 2025
    “…., the H-Bot sequence), it facilitates on-screen gene editing, enabling targeted mutations or the insertion of desired genes. Implementation requires Python and deep learning frameworks like TensorFlow or PyTorch, with optional use of Biopython for genetic sequence handling. …”
  13. 293

    Summary of Tourism Dataset. by Jing Zhang (23775)

    Published 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. 294

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

    Published 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. 295

    Hyperparameter Parameter Setting. by Jing Zhang (23775)

    Published 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. …”
  16. 296

    Marketing Campaign Analysis. by Jing Zhang (23775)

    Published 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. …”
  17. 297

    Visitor Segmentation Validation Accuracy. by Jing Zhang (23775)

    Published 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. …”
  18. 298

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

    Published 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. …”
  19. 299

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

    Published 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.…”
  20. 300