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Showing 41 - 60 results of 266 for search '(( python code representing ) OR ( python ((code implementation) OR (time implementation)) ))', query time: 0.55s Refine Results
  1. 41
    Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains.

    Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains. by Giulio Facchini (9031490)

    Published 2025
    “…<p dir="ltr"><b><i>* Cahn-Hilliard simulations *</i></b><br>Finite difference code implementing the modified Cahn Hilliard equation with a forward Euler scheme and the possibility to parallelize the solver using the numba python library.…”
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  2. 42
    Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ<sub>0</sub>, and different frequencies, , at different cutoff-values, δ<sub>scan</sub> ∊ [3.0,5.5] Å, for selected, representative peaks (c,d,e) of the heavy-atom—heavy-atom distance-distributions shown in S2 Fig.

    Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ<sub>0</sub>, and different frequencies, , at different cutoff-values, δ<sub>scan</sub> ∊ [3... by Guillermo Pérez-Hernández (21156182)

    Published 2025
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  3. 43
    Code interpreter with LLM.

    Code interpreter with LLM. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  4. 44
    Prediction accuracy analysis over time steps.

    Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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  5. 45
    FPR and FNR analysis based on different time steps.

    FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

    Published 2025
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  6. 46
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
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  7. 47
    Probabilities of normal and various cyber attack types over time sequence.

    Probabilities of normal and various cyber attack types over time sequence. by Mohanad Faeq Ali (21354273)

    Published 2025
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  8. 48
    Number of tweets collected over time.

    Number of tweets collected over time. by Sylvia Iasulaitis (8301189)

    Published 2025
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  9. 49
    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission

    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

    Published 2025
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  10. 50
    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission

    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

    Published 2025
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  11. 51
    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission

    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

    Published 2025
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  12. 52
    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission

    Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

    Published 2025
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  13. 53
    Datasets To EVAL.

    Datasets To EVAL. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  14. 54
    Statistical significance test results.

    Statistical significance test results. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  15. 55
    How RAG work.

    How RAG work. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  16. 56
    OpenBookQA experimental results.

    OpenBookQA experimental results. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  17. 57
    AI2_ARC experimental results.

    AI2_ARC experimental results. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  18. 58
    TQA experimental results.

    TQA experimental results. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  19. 59
    E-EVAL experimental results.

    E-EVAL experimental results. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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  20. 60
    TQA Accuracy Comparison Chart on different LLM.

    TQA Accuracy Comparison Chart on different LLM. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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