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Showing 1 - 20 results of 4,132 for search '(( tested using algorithms ) OR ((( element method algorithm ) OR ( neural coding algorithm ))))', query time: 0.47s Refine Results
  1. 1
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  2. 2
    Dispersion signal in principal and residual space in PCA and KPCA algorithm.

    Dispersion signal in principal and residual space in PCA and KPCA algorithm. by Emmanuel Ndongue Esseme (22615091)

    Published 2025
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  3. 3
    Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm.

    Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

    Published 2025
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  4. 4
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  5. 5
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  6. 6
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
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  7. 7
    Evaluation indexes of different methods on the test set.

    Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  8. 8
    The comparison of different prediction methods on the test set.

    The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  9. 9
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  10. 10
    The method for determining the chemical constituents of unknown materials in the algorithm.

    The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

    Published 2025
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  11. 11
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
    “…To address the parameter estimation problem, a novel metaheuristic algorithm, the chaotic honey-badger algorithm, is developed and evaluated. …”
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  12. 12
    Variables tested in the ML algorithms.

    Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

    Published 2024
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  13. 13
    The accuracy of anchor-free algorithms using test-set.

    The accuracy of anchor-free algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
    “…<p>The accuracy of anchor-free algorithms using test-set.</p>…”
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  14. 14
    The accuracy of anchor-based algorithms using test-set.

    The accuracy of anchor-based algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
    “…<p>The accuracy of anchor-based algorithms using test-set.</p>…”
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  15. 15
    Multi-material topology optimization using scaled boundary finite element method

    Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

    Published 2025
    “…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”
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  16. 16
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  17. 17
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  18. 18
    Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks

    Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

    Published 2025
    “…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”
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  19. 19
    Scatter diagram of different principal elements.

    Scatter diagram of different principal elements. by Jizhong Wang (7441697)

    Published 2025
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  20. 20
    Algorithm comparison test results.

    Algorithm comparison test results. by Hang Ren (1312905)

    Published 2025
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