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within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
its function » i function (Expand Search), loss function (Expand Search), cost function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
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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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Improved Ant Colony Algorithm
Published 2024“…To achieve this, we integrate the hyperbolic tangent function, fine-tuning the ACO algorithm's behavior to adaptively adjust its search strategy across iterations.(2) Recognizing the tendency of heuristic algorithms to converge prematurely into local optima, we devise a max-min ant colony strategy. …”
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Comparative analysis of algorithms.
Published 2024“…Notably, the LIRU algorithm registers a 5% increment in one-hop hit ratio relative to the LFU algorithm, a 66% enhancement over the LRU algorithm, and a 14% elevation in system hit ratio against the LRU algorithm. …”
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Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Published 2019“…These techniques provide a partition of brain regions (or nodes) into clusters (or communities), where nodes within a community are densely interconnected with one another. …”
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NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides
Published 2025“…Leveraging the sequences within the flavodoxin-like subdomain, we developed a substrate specificity prediction algorithm using a protein language model, achieving 92% overall prediction accuracy for 43 frequently observed amino acids, significantly improving the prediction reliability. …”
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Test functions.
Published 2025“…The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …”
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Multimodal reference functions.
Published 2025“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”
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