بدائل البحث:
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based work » based network (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
a global » _ global (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based work » based network (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
a global » _ global (توسيع البحث)
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Features selected by optimization algorithms.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Pseudocode of artificial dragonfly algorithm.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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The Hopfield artificial neural network algorithm.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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Hybrid feature selection algorithm of CSCO-ROA.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Curve of step response signal of 6 algorithms.
منشور في 2023"…<div><p>This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks Tunicate Swarm Optimization Algorithm (MSHHOTSA). …"
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Flow diagram of Wan Abdullah method for HNN.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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Training error and accuracy for all HNN models.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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G<i>m</i>R performance of various HNN-EB<i>k</i>SAT models.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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<i>MAPE performance of various</i> HNN-EB<i>k</i>SAT models.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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RMSE performance of various HNN-EB<i>k</i>SAT models.
منشور في 2023"…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …"
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A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"