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algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm which » algorithm where (توسيع البحث), algorithm within (توسيع البحث)
python function » protein function (توسيع البحث)
which function » beach function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
a function » _ function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm which » algorithm where (توسيع البحث), algorithm within (توسيع البحث)
python function » protein function (توسيع البحث)
which function » beach function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
a function » _ function (توسيع البحث)
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Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty
منشور في 2024"…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …"
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Test function convergence curve.
منشور في 2025"…The proposed improved Frank Wolfe algorithm can converge at around 30 iterations, with a convergence limit of around 10<sup>-4</sup>, which is superior to the traditional Frank Wolfe algorithm. …"
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104
Architecture of AGAN algorithm model.
منشور في 2024"…However, these statistical methods require collecting data from the entire research area, which consumes a significant amount of manpower and material resources. …"
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105
ROC curves of six algorithms.
منشور في 2024"…However, these statistical methods require collecting data from the entire research area, which consumes a significant amount of manpower and material resources. …"
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106
Convergence curve of each test function.
منشور في 2023"…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"
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107
Details of the metaheuristic algorithms.
منشور في 2025"…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …"
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108
Parameters of muti-island genetic algorithm.
منشور في 2025"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"
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109
MOEA/D-ND algorithm flowchart.
منشور في 2023"…The experimental outcomes denote that on the logic function with Zener diode transistor, the proposed algorithm has a mean generation distance index of 5.03E-3, which is lower than most algorithms. …"
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110
Changes in FID values of different algorithms.
منشور في 2025"…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …"
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111
Changes in loss values for different algorithms.
منشور في 2025"…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …"
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Comparison results of the loss functions.
منشور في 2025"…Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"
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116
Steps in the proposed Apriori algorithm.
منشور في 2025"…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …"
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117
Optimization results of different algorithms.
منشور في 2024"…<div><p>An Aquila optimizer-back propagation (AO-BP) neural network was used to establish an approximate model of the relationship between the design variables and the optimization objective to improve elevator block brake capabilities and achieve a lightweight brake design. Subsequently, the constraint conditions and objective functions were determined. …"
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Parameters of the proposed algorithm.
منشور في 2023"…First, MaAVOA was applied to the DTLZ functions, and its performance was compared to that of several popular many-objective algorithms and according to the results, MaAVOA outperforms the competitor algorithms in terms of inverted generational distance and hypervolume performance measures and has a beneficial adaptation ability in terms of both convergence and diversity performance measures. …"
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120
Benchmark test function results.
منشور في 2025"…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …"