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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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61
Explained variance ration of the PCA algorithm.
Published 2025“…We developed a mechanism which converts a given medical image to a spectral space which have a base set composed of special functions. …”
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62
Control parameters of the SOMA algorithm.
Published 2025“…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …”
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Route for bays29 output by ABSQL algorithm.
Published 2023“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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66
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67
Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
Published 2024“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”
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68
Pseudo-code of MWOA algorithm.
Published 2024“…In essence, it prevents algorithms from settling for suboptimal solutions too soon, encouraging exploration of a broader solution space before converging, by incorporating cauchy variation and a perturbation term, MWOA achieve optimization over a wide search space. …”
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69
Run times of two algorithms.
Published 2025“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”
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70
Architecture of AGAN algorithm model.
Published 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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71
ROC curves of six algorithms.
Published 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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72
Runtime of algorithms.
Published 2022“…The boxes extend from the first to third quartile, and the median is marked by a horizontal line. …”
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73
Optimization results of different algorithms.
Published 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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74
Prediction algorithm.
Published 2023“…Existing forecasting methods cannot handle the available large amount of data, which are limited by different issues like non-linearity, un-adjusted high variance and high dimensions. A compact and improved algorithm is needed to synchronize with the diverse procedure in ELPF. …”
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75
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AUC scores of anomaly detection algorithms.
Published 2025“…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …”
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Recall scores of anomaly detection algorithms.
Published 2025“…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …”
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78
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79
Parameter settings for metaheuristic algorithms.
Published 2025“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”
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80
Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional
Published 2025“…Two approaches, both leveraging batched dense linear algebra, are found to outperform the others across a suite of molecular benchmarks. We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”