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Showing 121 - 140 results of 286 for search '(( python ((code implementing) OR (model implementing)) ) OR ( python code implementation ))', query time: 0.51s Refine Results
  1. 121
    Comparison data 5 for <i>Lamprologus ocellatus</i>.

    Comparison data 5 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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  2. 122
    Comparison data 6 for <i>Lamprologus ocellatus</i>.

    Comparison data 6 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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  3. 123
    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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  4. 124
    Graphical abstract of HCAP.

    Graphical abstract of HCAP. by Mohanad Faeq Ali (21354273)

    Published 2025
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  5. 125
    Recall analysis.

    Recall analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
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  6. 126
    FPR and FNR analysis based on varying cyber attack types.

    FPR and FNR analysis based on varying cyber attack types. by Mohanad Faeq Ali (21354273)

    Published 2025
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  7. 127
    Analysis of IoMT data sources.

    Analysis of IoMT data sources. by Mohanad Faeq Ali (21354273)

    Published 2025
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  8. 128
    Prediction accuracy on varying attack types.

    Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

    Published 2025
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  9. 129
    <b> </b> Precision analysis.

    <b> </b> Precision analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
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  10. 130
    Convergence rate analysis.

    Convergence rate analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
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  11. 131
    Computational efficiency.

    Computational efficiency. by Mohanad Faeq Ali (21354273)

    Published 2025
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  12. 132
    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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  13. 133
    Performance comparison of cyber security techniques in IoMT healthcare devices.

    Performance comparison of cyber security techniques in IoMT healthcare devices. by Mohanad Faeq Ali (21354273)

    Published 2025
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  14. 134
    Prediction accuracy analysis over time steps.

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

    Published 2025
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  15. 135
    Impact of cyberattack types on IoMT devices.

    Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

    Published 2025
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  16. 136
    LSTM algorithm for cyber attack prediction in IoMT.

    LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

    Published 2025
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  17. 137
    IoMT devices and attack overview in the CICIoMT2024 dataset.

    IoMT devices and attack overview in the CICIoMT2024 dataset. by Mohanad Faeq Ali (21354273)

    Published 2025
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  18. 138
    Workflow of segmentation model creation and application.

    Workflow of segmentation model creation and application. by Vincent Hickl (16947429)

    Published 2025
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  19. 139
    Workflow of a typical Epydemix run.

    Workflow of a typical Epydemix run. by Nicolò Gozzi (8837522)

    Published 2025
    “…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”
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  20. 140
    This package of Python scripts implements the proposed unsupervised sentiment analysis approach. It contains a pre-processing script (preprocess.py), a script that calculates BERT embeddings (bert_encoder.py), a script to enrich embeddings with sentiment (enrich_embeddings.py), a script to build the graph (build_graph.py), a script to compute a graph attention module (gat_module.py), a script to do clustering and evaluation (clustering_and_evaluation.py), and utility/evaluation scripts. These files permit a complete replication of the experiments.

    This package of Python scripts implements the proposed unsupervised sentiment analysis approach. It contains a pre-processing script (preprocess.py), a script that calculates BERT... by Xiaohan Yu (7525940)

    Published 2025
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