يعرض 1 - 15 نتائج من 15 نتيجة بحث عن '(( algorithm python function ) OR ( algorithm both function ))~', وقت الاستعلام: 0.33s تنقيح النتائج
  1. 1

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

    منشور في 2025
    "…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"
  2. 2
  3. 3
  4. 4

    List of Abbreviations حسب Gursimran Singh (575288)

    منشور في 2025
    "…For advanced users, it facilitates the seamless integration of custom functionalities and novel algorithms with minimal coding, ensuring adaptability at each design stage. …"
  5. 5

    The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

    منشور في 2025
    "…For advanced users, it facilitates the seamless integration of custom functionalities and novel algorithms with minimal coding, ensuring adaptability at each design stage. …"
  6. 6
  7. 7

    S1 Graphical abstract - حسب José M. Rivera-Arbeláez (12418512)

    منشور في 2025
    "…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …"
  8. 8

    Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making حسب Xiaofei Zhang (16483224)

    منشور في 2025
    "…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …"
  9. 9

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

    منشور في 2025
    "…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …"
  10. 10

    Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

    منشور في 2025
    "…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"
  11. 11

    Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100) حسب peng xin (21382394)

    منشور في 2025
    "…Additionally, a Genetic Algorithm (GA) was applied in each iteration to optimize the hyperparameters of the XGBoost model, which is crucial for enhancing both the efficiency and robustness of the model (Zhong and Liu, 2024; Zou et al., 2024). …"
  12. 12

    Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation حسب Ryo Tamura (1957942)

    منشور في 2025
    "…We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. NIMO provides a framework for integrating AI into robotic experimental systems that are controlled by other OS platforms based on both Python and non-Python languages. …"
  13. 13

    Code حسب Baoqiang Chen (21099509)

    منشور في 2025
    "…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
  14. 14

    Core data حسب Baoqiang Chen (21099509)

    منشور في 2025
    "…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
  15. 15

    Landscape17 حسب Vlad Carare (22092515)

    منشور في 2025
    "…This dataset features global potential energy surface representations generated using the energy landscape framework and includes regions crucial for accurately reproducing both thermodynamic and kinetic properties. For each of the selected six molecules (ethanol, malonaldehyde, paracetamol, salicylic acid, azobenzene, and aspirin) we provide all the minima and transition states, along with configurations from the two approximate steepest-descent paths connecting each transition state to the corresponding minima, computed using hybrid-level density functional theory. …"