بدائل البحث:
process optimization » model optimization (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
main process » skin process (توسيع البحث), main protease (توسيع البحث), aging process (توسيع البحث)
binary main » binary mask (توسيع البحث), binary image (توسيع البحث), binary pairs (توسيع البحث)
binary i » binary _ (توسيع البحث)
i driven » ai driven (توسيع البحث), _ driven (توسيع البحث), _ drive (توسيع البحث)
process optimization » model optimization (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
main process » skin process (توسيع البحث), main protease (توسيع البحث), aging process (توسيع البحث)
binary main » binary mask (توسيع البحث), binary image (توسيع البحث), binary pairs (توسيع البحث)
binary i » binary _ (توسيع البحث)
i driven » ai driven (توسيع البحث), _ driven (توسيع البحث), _ drive (توسيع البحث)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 2025"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"
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Thesis-RAMIS-Figs_Slides
منشور في 2024"…From the results obtained across these three real scenarios explored in this thesis, it is possible to see that the proposed methodology achieves better performances than sampling in a structured regular grid (used as a conventional rule for sampling) in terms of both error in image reconstruction and global economic value, when considering the economic revenue of processing the ore and dumping the waste. <br><br>It is important to emphasize that no previous work have addressed the optimal sensing problem covered in this thesis for characterization of geological fields in the context of \emph{<i>MPS</i>}. …"
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GSE96058 information.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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The performance of classifiers.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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Data_Sheet_1_A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.docx
منشور في 2022"…We performed threshold optimization for converting predicted probabilities into binary predictions and identified the cut-off maximizing the sum of sensitivity and specificity.…"
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