يعرض 61 - 80 نتائج من 101 نتيجة بحث عن '(( python practical implementation ) OR ( python time implementation ))', وقت الاستعلام: 0.27s تنقيح النتائج
  1. 61

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

    منشور في 2025
    "…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. 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. …"
  2. 62

    Hyperparameter Parameter Setting. حسب Jing Zhang (23775)

    منشور في 2025
    "…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. 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. …"
  3. 63

    Marketing Campaign Analysis. حسب Jing Zhang (23775)

    منشور في 2025
    "…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. 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. …"
  4. 64

    Visitor Segmentation Validation Accuracy. حسب Jing Zhang (23775)

    منشور في 2025
    "…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. 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. …"
  5. 65

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

    منشور في 2025
    "…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. 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. …"
  6. 66

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

    منشور في 2025
    "…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …"
  7. 67

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

    منشور في 2025
    "…</p><p dir="ltr">MSc Personalised Medicine is a Master’s programme that can be taken in 1 year full-time or across 2 years part-time. Both full-time and part-time programmes have two intakes and can be started in September or January.…"
  8. 68

    Soulware-Lite حسب Abhiram Gnyanijaya (21572942)

    منشور في 2025
    "…It operates as middleware to intercept user inputs and LLM outputs, performing real-time semantic auditing, belief-state tracking, introspective alignment scoring (KRW, deltaΨ), and automated self-correction.…"
  9. 69

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

    منشور في 2025
    "…We report the development and implementation of electronic excited-state capabilities for semiempirical quantum chemical methods at both the Configuration Interaction Singles and Time-Dependent Hartree–Fock levels of theory, integrated within the PYSEQM 2.0 software package (https://github.com/lanl/PYSEQM). …"
  10. 70

    A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture حسب Nagarajan Kandasamy (8400168)

    منشور في 2025
    "…QUANTISENC’s software-defined hardware design methodology allows the user to train an SNN model using Python and evaluate performance of its hardware implementation, such as area, power, latency, and throughput. …"
  11. 71

    Computational performance analysis script. حسب Le Qi (8859521)

    منشور في 2025
    "…<p>Python implementation for computational performance evaluation and timing analysis.…"
  12. 72

    Demonstration of Isosteric Heat of Adsorption Calculation using AIFs and pyGAPs حسب Jack Evans (11275386)

    منشور في 2025
    "…</p><p dir="ltr">The calculation is performed using the Clausius-Clapeyron method as implemented in the <code><strong>pyGAPS</strong></code> Python library for adsorption science. …"
  13. 73

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

    منشور في 2025
    "…Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. …"
  14. 74

    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). …"
  15. 75

    Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications,DOI:10.1038/s41467-024-53943-6 حسب Xiao-Xiao Wang (2447920)

    منشور في 2024
    "…Specifically, run this *.xml file using BEAST six times. Then, output of the six runs was combined and TreeAnnotator was used to summarize divergence time.…"
  16. 76

    Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 حسب Robert Zomer (12796235)

    منشور في 2025
    "…</p><p dir="ltr">The Python programming source code used to run the calculation of ET0 and AI is provided and available online on Figshare at:</p><p dir="ltr">https://figshare.com/articles/software/Global_Aridity_Index_and_Potential_Evapotranspiration_Climate_Database_v3_-_Algorithm_Code_Python_/20005589</p><p dir="ltr">Peer-Review Reference and Proper Citation:</p><p dir="ltr">Zomer, R.J.; Xu, J.; Trabuco, A. 2022. …"
  17. 77

    HCC Evaluation Dataset and Results حسب Jens-Rene Giesen (18461928)

    منشور في 2024
    "…</p><h3>Report Script</h3><p dir="ltr">On the top-level directory you find a <code>report.py</code> file, which is an executable Python script. The only requirement for running this script is a Python 3.6+ interpreter as well as an installation of the <code>numpy</code> package. …"
  18. 78

    Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b> حسب Zhou (20184816)

    منشور في 2025
    "…<p><br></p><p dir="ltr">The EQN framework is a micro-emotion annotation and detection system that realizes the automatic micro-emotion annotation of text with energy level scores for the first time. The text emotion datasets it annotates are no longer simple single-label or multi-label, but macro-emotions and micro-emotions with continuous values ​​of emotion intensity. …"
  19. 79

    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. …"
  20. 80

    Reinforcement Learning based traffic steering inOpen Radio Access Network (ORAN)- oran-ts GitHub Repository حسب Aaradhy Sharma (21503465)

    منشور في 2025
    "…It features a modular Python framework implementing various RL agents (Q-Learning, SARSA, N-Step SARSA, DQN) and a traditional baseline evaluated in a realistic cellular network environment. …"