يعرض 1 - 20 نتائج من 100 نتيجة بحث عن '(( algorithm brain function ) OR ((( algorithm both function ) OR ( algorithm link function ))))', وقت الاستعلام: 0.11s تنقيح النتائج
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    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation حسب Raveendra Pilli (21633287)

    منشور في 2024
    "…Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …"
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    Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

    منشور في 2022
    "…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"
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    Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

    منشور في 2023
    "…To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. RVFL model has several characteristics such as fast training speed, direct links, simple architecture, and universal approximation capability, that make it a viable randomized neural network. …"
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    New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

    منشور في 2018
    "…After proving this equivalence, this paper introduces a novel data structure that may, with further tweaking, enable faster enumeration algorithms for both regular Boolean functions and all-capacities knapsack problem instances.…"
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    conferenceObject
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    Online dynamic ensemble deep random vector functional link neural network for forecasting حسب Ruobin Gao (16003195)

    منشور في 2023
    "…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple randomized layers to enhance the single-layer RVFL’s representation ability. …"
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    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks حسب Saad, Walid

    منشور في 2012
    "…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …"
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    article
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    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure حسب Mouna Rabhi (17086969)

    منشور في 2024
    "…The current tree-based ME algorithms often overlook considerations for node/link failures or offer costly methods for failure recovery. …"
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    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach حسب Nargess Sadeghzadeh-Nokhodberiz (16904952)

    منشور في 2023
    "…The method is firstly developed in a centralized scheme and then extended to a distributed framework using appropriate asymptotically convergent consensus algorithms. Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …"
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    Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

    منشور في 2024
    "…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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    Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

    منشور في 2024
    "…The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
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