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Showing 1 - 20 results of 91 for search '(( binary most active optimization algorithm ) OR ( genes based small optimization algorithm ))', query time: 1.08s Refine Results
  1. 1
    The most effective active substances for subfertility treatment.

    The most effective active substances for subfertility treatment. by Uğur Ejder (22683228)

    Published 2025
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  2. 2
    DataSheet1_Establishment and Optimization of Radiomics Algorithms for Prediction of KRAS Gene Mutation by Integration of NSCLC Gene Mutation Mutual Exclusion Information.DOCX

    DataSheet1_Establishment and Optimization of Radiomics Algorithms for Prediction of KRAS Gene Mutation by Integration of NSCLC Gene Mutation Mutual Exclusion Information.DOCX by Jingyi Wang (550305)

    Published 2022
    “…<p>Purpose: To assess the significance of mutation mutual exclusion information in the optimization of radiomics algorithms for predicting gene mutation.…”
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  3. 3
    Optimal ALARM BN discovered by CausNet.

    Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

    Published 2025
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  4. 4
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
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  5. 5
    Optimal image settings for object detection of Iba1 immunolabelled cells in DAB.

    Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. by Danish M. Anwer (15383441)

    Published 2023
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  6. 6
    Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles

    Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles by Peter S. Rice (11805875)

    Published 2025
    “…For this purpose, we have developed a general procedure that we use to model an experimentally relevant 270-atom Fe<sub>182</sub>C<sub>88</sub> NP using the neural network-assisted stochastic surface walk global optimization algorithm (SSW-NN). Once generated, the Fe<sub>182</sub>C<sub>88</sub> NP active sites and particle morphology are thoroughly characterized before the effects of syngas adsorbate interactions are explored by using DFT and molecular dynamics simulations. …”
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  7. 7
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  8. 8
    FDR and Runtime for ALARM.

    FDR and Runtime for ALARM. by Nand Sharma (21519845)

    Published 2025
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  9. 9
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  10. 10
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  11. 11
    ALARM networks with different partial orderings.

    ALARM networks with different partial orderings. by Nand Sharma (21519845)

    Published 2025
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  12. 12
    Average Runtime in seconds.

    Average Runtime in seconds. by Nand Sharma (21519845)

    Published 2025
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  13. 13
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  14. 14
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  15. 15
    Subset lattice for partial orderings with on four nodes .

    Subset lattice for partial orderings with on four nodes . by Nand Sharma (21519845)

    Published 2025
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  16. 16
    Subset lattices with parent set constraints.

    Subset lattices with parent set constraints. by Nand Sharma (21519845)

    Published 2025
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  17. 17
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  18. 18
    Subset lattice for BNs with four nodes .

    Subset lattice for BNs with four nodes . by Nand Sharma (21519845)

    Published 2025
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  19. 19
    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example.

    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example. by Nand Sharma (21519845)

    Published 2025
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  20. 20
    Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>"

    Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>" by Doga CEDDEN (12675286)

    Published 2025
    “…</p><p><br></p><p dir="ltr">Chapter 4 introduces the dsRIP web platform (<a href="https://dsrip.uni-goettingen.de/" target="_blank">https://dsrip.uni-goettingen.de/</a>) for designing sequence-optimized dsRNA for RNAi-based pest control. In the experimental part, small interfering RNA (siRNA) features that were associated with RNAi efficacy in human cells were tested in <i>T. castaneum </i>by targeting an essential gene and measuring insecticidal efficacy. …”
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