Showing 121 - 140 results of 244 for search '(( binary data code optimization algorithm ) OR ( data sample design optimization algorithm ))', query time: 0.69s Refine Results
  1. 121
  2. 122

    Prediction of Maximum Absorption Wavelength Using Deep Neural Networks by Jinning Shao (12245694)

    Published 2022
    “…Herein, we established a database (<b>SMFluo1</b>) of 1181 solvated small-molecule fluorophores covering the ultraviolet–visible–near-infrared absorption window and developed new machine learning models based on deep neural networks for accurately predicting photophysical parameters. The optimal system was applied to 120 out-of-sample compounds, and it exhibited remarkable accuracy with a mean relative error of 1.52%. …”
  3. 123

    Prediction of Maximum Absorption Wavelength Using Deep Neural Networks by Jinning Shao (12245694)

    Published 2022
    “…Herein, we established a database (<b>SMFluo1</b>) of 1181 solvated small-molecule fluorophores covering the ultraviolet–visible–near-infrared absorption window and developed new machine learning models based on deep neural networks for accurately predicting photophysical parameters. The optimal system was applied to 120 out-of-sample compounds, and it exhibited remarkable accuracy with a mean relative error of 1.52%. …”
  4. 124

    SPIKE: Evolving Design & Mobility for Asteroid Exploration by Felicity Aldava (8940203)

    Published 2020
    “…This study aims to use Evolutionary Algorithms to optimize the number of booms to facilitate ‘walking’ over the asteroid surface. …”
  5. 125
  6. 126

    Multi-zone simulation results on ASE and sDA daylight metrics for parametric high-rise model with quad grid and diagrid facade in a highly dense hypothetical urban district using d... by Berk Ekici (9126502)

    Published 2020
    “…For this reason, a hypothetical dense urban district is generated in Grasshopper 3d Algorithmic Modeling Environment in Rhino 3D. The models include various design variables depending on the facades type (quad grid and diagrid) and zones. …”
  7. 127

    The brief description on the WTCCC dataset. by Liyan Sun (760586)

    Published 2024
    “…These experiments aimed to gauge the algorithms’ adaptability in detecting epistasis as the number of SNPs in the data increases. …”
  8. 128

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

    Published 2024
    “…These experiments aimed to gauge the algorithms’ adaptability in detecting epistasis as the number of SNPs in the data increases. …”
  9. 129

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

    Published 2024
    “…These experiments aimed to gauge the algorithms’ adaptability in detecting epistasis as the number of SNPs in the data increases. …”
  10. 130

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

    Published 2024
    “…These experiments aimed to gauge the algorithms’ adaptability in detecting epistasis as the number of SNPs in the data increases. …”
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  12. 132

    Data_Sheet_3_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  13. 133

    Data_Sheet_4_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  14. 134

    Data_Sheet_2_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  15. 135

    Data_Sheet_1_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  16. 136

    Data_Sheet_6_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  17. 137

    Data_Sheet_5_Deciphering the Subtype Differentiation History of SARS-CoV-2 Based on a New Breadth-First Searching Optimized Alignment Method Over a Global Data Set of 24,768 Sequen... by Qianyu Lin (4687312)

    Published 2021
    “…Here, we optimized multiple sequence alignment using a conserved sequence search algorithm to align 24,768 sequences from the GISAID data set. …”
  18. 138

    Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior - Data, Analysis Code and Appendix by Nele Albers (11596000)

    Published 2023
    “…</p> <p><br></p> <p><strong>Appendix</strong></p> <p>We also provide the Appendix of our paper, which contains more information on the virtual coach (including the conversation structure and preparatory activities), persuasion algorithm, data collection, optimal and worst policies computed for research questions Q3 and Q4, and the weighting of samples based on similarity for research question Q6.…”
  19. 139
  20. 140

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…However, there still were certain limitations in this study, so large-sample clinical randomized control trials with a rigor design following the evidence-based medicine standards need to be conducted to justify the results of this study.…”