بدائل البحث:
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), process optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
binary based » linac based (توسيع البحث), binary mask (توسيع البحث)
based driven » based diet (توسيع البحث), wave driven (توسيع البحث), user driven (توسيع البحث)
based dose » based case (توسيع البحث), based dosing (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), process optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
binary based » linac based (توسيع البحث), binary mask (توسيع البحث)
based driven » based diet (توسيع البحث), wave driven (توسيع البحث), user driven (توسيع البحث)
based dose » based case (توسيع البحث), based dosing (توسيع البحث)
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1
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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2
the functioning of BRPSO.
منشور في 2025"…A sensitivity analysis of key RFD parameters, including frictional moment and rigid beam length, highlights their influence on seismic performance. 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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3
Characteristic of 6- and 10-story SMRF [99,98].
منشور في 2025"…A sensitivity analysis of key RFD parameters, including frictional moment and rigid beam length, highlights their influence on seismic performance. 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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4
The RFD’s behavior mechanism (2002).
منشور في 2025"…A sensitivity analysis of key RFD parameters, including frictional moment and rigid beam length, highlights their influence on seismic performance. 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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5