Search alternatives:
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
dataset processing » dataset preprocessing (Expand Search), data processing (Expand Search), data preprocessing (Expand Search)
based optimization » whale optimization (Expand Search)
final dataset » minimal dataset (Expand Search), full dataset (Expand Search), original dataset (Expand Search)
binary b » binary _ (Expand Search)
b based » _ based (Expand Search), 1 based (Expand Search), 2 based (Expand Search)
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
dataset processing » dataset preprocessing (Expand Search), data processing (Expand Search), data preprocessing (Expand Search)
based optimization » whale optimization (Expand Search)
final dataset » minimal dataset (Expand Search), full dataset (Expand Search), original dataset (Expand Search)
binary b » binary _ (Expand Search)
b based » _ based (Expand Search), 1 based (Expand Search), 2 based (Expand Search)
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Code and raw data used in this study.
Published 2024“…Finally, an edge optimization module is used to integrate the edge features into the middle and the deep supervision layers of the network through an adaptive algorithm to enhance its ability to express edge features and optimize the edge segmentation effect. …”
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Genetic algorithm flowchart.
Published 2024“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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Summary of raw and processed dataset.
Published 2023“…Three different ML algorithms were optimized and tested with the original dataset to assess the performance of ML models against non-linear input data. …”
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Trained dataset after preprocessing.
Published 2023“…All the above said methods are trained and tested with NIDS dataset V.10 2017. Finally, the “Decision Making” model decides the best result by giving an alert message. …”
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Test dataset after preprocessing.
Published 2023“…All the above said methods are trained and tested with NIDS dataset V.10 2017. Finally, the “Decision Making” model decides the best result by giving an alert message. …”
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Accuracy comparison with various datasets.
Published 2023“…All the above said methods are trained and tested with NIDS dataset V.10 2017. Finally, the “Decision Making” model decides the best result by giving an alert message. …”
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