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Showing 181 - 200 results of 667 for search '(((( elements based algorithm ) OR ( complement based algorithm ))) OR ( level coding algorithm ))', query time: 0.48s Refine Results
  1. 181
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  2. 182
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

    Published 2024
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  3. 183
    The penetrance tables for the 8 DME models.

    The penetrance tables for the 8 DME models. by Liyan Sun (760586)

    Published 2024
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  4. 184
    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

    Published 2024
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  5. 185
    The penetrance tables for the 6 DNME3 models.

    The penetrance tables for the 6 DNME3 models. by Liyan Sun (760586)

    Published 2024
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  6. 186
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  7. 187
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

    Published 2024
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  8. 188
    Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000).

    Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). by Liyan Sun (760586)

    Published 2024
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  9. 189
    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem

    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

    Published 2025
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  10. 190
    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem

    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

    Published 2025
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  11. 191
    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem

    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem by Hongwei Chu (3912916)

    Published 2025
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  12. 192
    Dialogue Propositional Content Replacement (DPCR) code

    Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

    Published 2025
    “…The comparison is between original human-human debate snippets, snippets generated with an IAT-compliant algorithm and snippets produced with ablated versions of the algorithm. …”
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  13. 193
    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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  14. 194
    <b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b>

    <b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

    Published 2025
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  15. 195
    Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments

    Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments by Michael Howard (19421473)

    Published 2025
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  16. 196
    Collaborative Research: Elements: Building an open-source DFT+eDMFT database for quantum materials

    Collaborative Research: Elements: Building an open-source DFT+eDMFT database for quantum materials by Subhasish Mandal (19417771)

    Published 2025
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  17. 197
    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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  18. 198
    Pareto optimal front result of MOCOA.

    Pareto optimal front result of MOCOA. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  19. 199
    Confusion matrix.

    Confusion matrix. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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  20. 200
    Different patterns of electrocardio signals with Gaussian noise.

    Different patterns of electrocardio signals with Gaussian noise. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
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