بدائل البحث:
access optimization » process optimization (توسيع البحث), stress optimization (توسيع البحث), process optimisation (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a swarm » a warm (توسيع البحث), _ swarm (توسيع البحث)
access optimization » process optimization (توسيع البحث), stress optimization (توسيع البحث), process optimisation (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a swarm » a warm (توسيع البحث), _ swarm (توسيع البحث)
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the functioning of BRPSO.
منشور في 2025"…The optimization problem is formulated based on the seismic energy dissipation concept, employing a modified binary and real-coded particle swarm optimization (BRPSO) algorithm. …"
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Characteristic of 6- and 10-story SMRF [99,98].
منشور في 2025"…The optimization problem is formulated based on the seismic energy dissipation concept, employing a modified binary and real-coded particle swarm optimization (BRPSO) algorithm. …"
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The RFD’s behavior mechanism (2002).
منشور في 2025"…The optimization problem is formulated based on the seismic energy dissipation concept, employing a modified binary and real-coded particle swarm optimization (BRPSO) algorithm. …"
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25
Thesis-RAMIS-Figs_Slides
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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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_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
منشور في 2022"…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …"
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…Data sources included peer-reviewed publications and reputable open-access repositories such as the NanoPharos database. …"