بدائل البحث:
complex optimization » convex optimization (توسيع البحث), whale optimization (توسيع البحث), wolf optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary primate » binary image (توسيع البحث)
based complex » layer complex (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
complex optimization » convex optimization (توسيع البحث), whale optimization (توسيع البحث), wolf optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary primate » binary image (توسيع البحث)
based complex » layer complex (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
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Evolution of changing the COP distance error’s weight (<i>α</i>) inCOP-BC controller.
منشور في 2023الموضوعات: -
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Illustration of two joints dynamical model of the human body in standing position.
منشور في 2023الموضوعات: -
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The illustration of the postural controller feedback loop is studied in this paper.
منشور في 2023الموضوعات: -
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Synopsis Presentation
منشور في 2021"…We are going to propose a multi objective community detection technique based on chance constrained optimization which requires less parameter tuning and gives higher accuracy. …"
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Genetic algorithm meta-parameters.
منشور في 2024"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"
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The entity relationship of DDPG algorithm.
منشور في 2024"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"
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Data Sheet 1_Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system.docx
منشور في 2025"…However, optimizing seismic retrofits involves complex trade-offs and requires explicit consideration of design robustness against uncertainties. …"
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Proposed architecture of our research.
منشور في 2025"…However, traditional regression models, such as Random Forest and Linear Regression, face challenges in capturing the complex, nonlinear relationships within image data, leading to less accurate predictions. …"
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Image processing steps applied in our research.
منشور في 2025"…However, traditional regression models, such as Random Forest and Linear Regression, face challenges in capturing the complex, nonlinear relationships within image data, leading to less accurate predictions. …"