يعرض 61 - 80 نتائج من 13,348 نتيجة بحث عن '(((( algorithm low functional ) OR ( algorithm python function ))) OR ( algorithm 1 function ))', وقت الاستعلام: 2.01s تنقيح النتائج
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    Details of the metaheuristic algorithms. حسب Junhao Wei (6816803)

    منشور في 2025
    "…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"
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    Parameter settings for algorithms. حسب Junhao Wei (6816803)

    منشور في 2025
    "…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"
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    Two-stage object detection algorithm process. حسب Xutao Liu (13006965)

    منشور في 2023
    "…Regressive Function, Multinomial Naive Bayes and Gaussian Naive Bayes Algorithms have lower prediction delay, as low as 0.01s. …"
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    Comparative analysis of algorithms. حسب Xumin Zhao (18261643)

    منشور في 2024
    "…This paper presents a novel storage optimization algorithm, dubbed LIRU (Low Interference Recently Used), which synthesizes the strengths of the LIRS (Low Interference Recency Set) and LRU (Least Recently Used) replacement algorithms. …"
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    Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

    منشور في 2025
    "…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …"
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    Low-Rank Covariance Function Estimation for Multidimensional Functional Data حسب Jiayi Wang (294312)

    منشور في 2020
    "…Despite the lack of a closed form, under mild assumptions, the proposed estimator can achieve unified theoretical results that hold for any relative magnitudes between the sample size and the number of observations per sample field, and the rate of convergence reveals the phase-transition phenomenon from sparse to dense functional data. Based on a new representer theorem, an ADMM algorithm is developed for the trace-norm regularization. …"
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    Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

    منشور في 2020
    "…<p>Resting-state functional connectivity (RSFC) has been generally assessed with functional magnetic resonance imaging (fMRI) thanks to its high spatial resolution. …"
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