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design optimization » bayesian optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
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binary data » primary data (Expand Search), dietary data (Expand Search)
design optimization » bayesian optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
simple design » sample design (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Related studies on IDS using deep learning.
Published 2024“…<div><p>Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks jeopardizes network security and make it really challenging to detect intrusions. …”
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The architecture of the BI-LSTM model.
Published 2024“…<div><p>Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks jeopardizes network security and make it really challenging to detect intrusions. …”
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Comparison of accuracy and DR on UNSW-NB15.
Published 2024“…<div><p>Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks jeopardizes network security and make it really challenging to detect intrusions. …”
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Comparison of DR and FPR of UNSW-NB15.
Published 2024“…<div><p>Due to the recent advances in the Internet and communication technologies, network systems and data have evolved rapidly. The emergence of new attacks jeopardizes network security and make it really challenging to detect intrusions. …”
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Image_1_Validation of miRNA signatures for ovarian cancer earlier detection in the pre-diagnosis setting using machine learning approaches.pdf
Published 2024“…We employed the extreme gradient boosting (XGBoost) algorithm to train a binary classification model using 70% of the available data, while the model was tested on the remaining 30% of the dataset.…”
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Models and Dataset
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”
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Supplementary Material 8
Published 2025“…By mitigating class imbalance, SMOTE enables robust AMR detection, aiding in early identification of drug-resistant bacteria and informing antibiotic stewardship efforts.…”