يعرض 1 - 20 نتائج من 27 نتيجة بحث عن '(( binary a robust detection algorithm ) OR ( binary sample process optimization algorithm ))', وقت الاستعلام: 1.05s تنقيح النتائج
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    Parameter settings. حسب Yang Cao (53545)

    منشور في 2024
    "…Finally, the paper incorporates the sampling concept of elite individuals from the Estimation of Distribution Algorithm (EDA) to regenerate new solutions through the selection process in DE. …"
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    Related studies on IDS using deep learning. حسب Arshad Hashmi (13835488)

    منشور في 2024
    "…This imbalance can adversely affect the learning process of predictive models, often resulting in high false-negative rates, a major concern in Intrusion Detection Systems (IDS). …"
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    The architecture of the BI-LSTM model. حسب Arshad Hashmi (13835488)

    منشور في 2024
    "…This imbalance can adversely affect the learning process of predictive models, often resulting in high false-negative rates, a major concern in Intrusion Detection Systems (IDS). …"
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    Comparison of accuracy and DR on UNSW-NB15. حسب Arshad Hashmi (13835488)

    منشور في 2024
    "…This imbalance can adversely affect the learning process of predictive models, often resulting in high false-negative rates, a major concern in Intrusion Detection Systems (IDS). …"
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    Comparison of DR and FPR of UNSW-NB15. حسب Arshad Hashmi (13835488)

    منشور في 2024
    "…This imbalance can adversely affect the learning process of predictive models, often resulting in high false-negative rates, a major concern in Intrusion Detection Systems (IDS). …"
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    Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

    منشور في 2024
    "…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…"
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    Fig 12 - حسب Nisha Yadav (366131)

    منشور في 2024
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    Result comparison with other existing models. حسب Md. Sabbir Hossain (9958939)

    منشور في 2025
    "…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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    Dataset distribution. حسب Md. Sabbir Hossain (9958939)

    منشور في 2025
    "…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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    CNN structure for feature extraction. حسب Md. Sabbir Hossain (9958939)

    منشور في 2025
    "…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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    Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model حسب Ramya Chinnasamy (21633527)

    منشور في 2025
    "…<p dir="ltr">In the dynamic landscape of cybersecurity, robust and efficient Intrusion Detection Systems (IDS) are essential. …"