Showing 1 - 20 results of 3,492 for search '(((( based mapping algorithm ) OR ( case modeling algorithm ))) OR ( element data algorithm ))', query time: 0.54s Refine Results
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    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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    Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

    Published 2025
    “…<p>Obtained heat map for regression-based algorithms.</p>…”
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    Ideal assisted map. by Tuan Anh Nguyen (121944)

    Published 2025
    “…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …”
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    Four Pareto frontiers of algorithms. by Liming Wei (2873834)

    Published 2025
    “…<div><p>To accelerate energy efficiency improvement and green transition in industrial parks while addressing energy utilization and carbon reduction requirements, this study proposes a low-carbon economic dispatch model for integrated energy systems (IES) based on an enhanced multi-objective artificial hummingbird algorithm (MOAHA). …”
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    Algorithm performance evaluation index results. by Liming Wei (2873834)

    Published 2025
    “…<div><p>To accelerate energy efficiency improvement and green transition in industrial parks while addressing energy utilization and carbon reduction requirements, this study proposes a low-carbon economic dispatch model for integrated energy systems (IES) based on an enhanced multi-objective artificial hummingbird algorithm (MOAHA). …”
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    Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

    Published 2024
    “…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …”