بدائل البحث:
compared optimization » competing optimization (توسيع البحث), based optimization (توسيع البحث), convex optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
rate compared » mice compared (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary rate » binary data (توسيع البحث), binary image (توسيع البحث)
compared optimization » competing optimization (توسيع البحث), based optimization (توسيع البحث), convex optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
rate compared » mice compared (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary rate » binary data (توسيع البحث), binary image (توسيع البحث)
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Normalized computation rate for N = 10.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Proposed Algorithm.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf
منشور في 2024"…<p>Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. …"
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Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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ROC curve for binary classification.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"
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Confusion matrix for binary classification.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"
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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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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
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An Example of a WPT-MEC Network.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Related Work Summary.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Simulation parameters.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Training losses for N = 10.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Summary of Notations Used in this paper.
منشور في 2025"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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Testing results for classifying AD, MCI and NC.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"
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Summary of existing CNN models.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"