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Showing 1 - 20 results of 567 for search '(((( element based algorithm ) OR ( elements present algorithm ))) OR ( neural coding algorithm ))', query time: 0.40s Refine Results
  1. 1
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  2. 2
    Composition spectrum of primary ilmenite based on microanalysis of the elemental composition of the grains with an EDS sensor.

    Composition spectrum of primary ilmenite based on microanalysis of the elemental composition of the grains with an EDS sensor. by Gabriel Prates Hallal (19555976)

    Published 2025
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  3. 3
    Conflict resolution matrix based on TRIZ theory.

    Conflict resolution matrix based on TRIZ theory. by Ronghua Meng (20978441)

    Published 2025
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  4. 4
    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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  5. 5
    Temperature measurement at the wire tip during TSE MRI using the standard bases (“Channel coordinate”), low-SAR bases and safe-mode PTX MRI with channel settings determined in the existing and proposed workflows.

    Temperature measurement at the wire tip during TSE MRI using the standard bases (“Channel coordinate”), low-SAR bases and safe-mode PTX MRI with channel settings determined in the... by Maryam Arianpouya (12299222)

    Published 2024
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  6. 6
    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different spatial locations. The physical pairwise similarities are assumed to be high between A and B and between C and D, while they are relatively low for the other four pairs, as indicated by the physical similarity matrix. This configuration potentially leads to the grouping of {A, B} and {C, D}, as depicted by the dashed red squares. Following neural processing that incorporates the global similarity structure, similar pairs are grouped, whereas dissimilar pairs are segregated, as reflected in the perceptual connection matrix. (B) Demonstration of how computational complexity increases with stimulus size. The left panel presents the physical similarity matrix for 3 × 6 and 4 × 8 element stimuli, respectively. The right panel illustrates the exponential growth in the number o

    (A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... by Yen-Ju Chen (354876)

    Published 2025
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  7. 7
    Simulated B<sub>1</sub><sup>+</sup> maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4.

    Simulated B<sub>1</sub><sup>+</sup> maps using the standard and the low-SAR bases and the experimental maps for CH1-CH4. by Maryam Arianpouya (12299222)

    Published 2024
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  8. 8
    Data and code resources.

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

    Published 2025
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  9. 9
    Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase algorithm for multi-material topology optimization [34]. (c) A new mapping based interpolation function for multi-material topology optimization [35]. (d) A material-field series expansion (MFSE) model for multi-material topology optimization [36].

    Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

    Published 2025
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  10. 10
    The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.

    The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input. by Dong Hyeok Choi (12562048)

    Published 2025
    “…<p>The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.…”
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  11. 11
    BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation.

    BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. by Sarmad Sohaib (21273402)

    Published 2025
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  12. 12
    Mean and maximum |B1+| values calculated over the Region of Interest (ROI) for the simulated and experimental |B1+| maps, and associated temperature elevations ΔT as achieved with the <i>C</i> (<i>CH1</i>, <i>CH 2</i>, <i>CH 3</i>, <i>CH 4</i>) and <i>L</i> (<i>m1</i>, <i>m2</i>, <i>m3</i>, <i>m4</i>) bases shown in the Figs 3 and 5, respectively.

    Mean and maximum |B1+| values calculated over the Region of Interest (ROI) for the simulated and experimental |B1+| maps, and associated temperature elevations ΔT as achieved with... by Maryam Arianpouya (12299222)

    Published 2024
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  13. 13
    Risk element category diagram.

    Risk element category diagram. by Yao Hu (3479972)

    Published 2025
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  14. 14
    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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  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
    Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis

    Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis by Alireza Enshaeian (20360253)

    Published 2024
    “…<p>This paper presents a finite element model for the dynamic vibration of continuous-welded rails (CWR) under different longitudinal stresses and base conditions. …”
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  17. 17
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  18. 18
    Values for 1-g SAR (SAR<sub>1g</sub>), 10-g local SAR (SAR<sub>10g</sub>) and global SAR (SAR<sub>G</sub>), as well as <i>SAR</i><sub>1<i>g</i></sub>/<i>SAR</i><sub><i>G</i></sub> and <i>SAR</i><sub>10<i>g</i></sub>/<i>SAR</i><sub><i>G</i></sub> ratios calculated for the simulated E- maps, as achieved with the <i>C</i> (<i>CH1</i>, <i>CH 2</i>, <i>CH 3</i>, <i>CH 4</i>) and <i>L</i> (<i>m1</i>, <i>m2</i>, <i>m3</i>, <i>m4</i>) bases.

    Values for 1-g SAR (SAR<sub>1g</sub>), 10-g local SAR (SAR<sub>10g</sub>) and global SAR (SAR<sub>G</sub>), as well as <i>SAR</i><sub>1<i>g</i></sub>/<i>SAR</i><sub><i>G</i></sub>... by Maryam Arianpouya (12299222)

    Published 2024
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  19. 19
    Algorithmic experimental parameter design.

    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. …”
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  20. 20
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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