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objects optimization » objectives optimization (Expand Search), objective optimization (Expand Search), robust optimization (Expand Search)
cell optimization » field optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
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Showing 1 - 20 results of 588 for search '(( binary based objects optimization algorithm ) OR ( gene based cell optimization algorithm ))', query time: 0.69s Refine Results
  1. 1
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  2. 2
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
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  3. 3
    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX

    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... by Yangyang Liu (807797)

    Published 2022
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  4. 4
    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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  5. 5
    Key gene identification based on two machine learning algorithms.

    Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

    Published 2025
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  6. 6
    Most informative genes for predicting cell-line responses for Gefitinib.

    Most informative genes for predicting cell-line responses for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  7. 7
    A* Path-Finding Algorithm to Determine Cell Connections

    A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

    Published 2025
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  8. 8
    Optimal Drug-Target Docking Visualization.

    Optimal Drug-Target Docking Visualization. by Qijun Wo (12992781)

    Published 2025
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  9. 9
    Algorithm 2: Maintain inhibitory densities coherence.

    Algorithm 2: Maintain inhibitory densities coherence. by Dimitri Rodarie (10148838)

    Published 2022
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  10. 10
    IFS curves of two classification algorithms based on feature list yielded by MCFS.

    IFS curves of two classification algorithms based on feature list yielded by MCFS. by Zhan Dong Li (12481390)

    Published 2022
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  11. 11
    Algorithm 1: Cap inhibitory densities to number of neurons.

    Algorithm 1: Cap inhibitory densities to number of neurons. by Dimitri Rodarie (10148838)

    Published 2022
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  12. 12
    Table1_Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms.DOCX

    Table1_Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms.DOCX by Weimin Li (131040)

    Published 2022
    “…In this study, based on the scRNA-seq results of primary neoplastic cells and paired normal liver cells from eight HCC patients, a new strategy of machine learning algorithms was applied to screen core biomarkers that distinguished HCC tumor tissues from the adjacent normal liver. …”
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  13. 13
    Screening MMRG gene variables associated with UC based on the optimal machine learning model.

    Screening MMRG gene variables associated with UC based on the optimal machine learning model. by Li Li (14993)

    Published 2025
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  14. 14
    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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  15. 15
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …”
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  16. 16
    Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  17. 17
    Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  18. 18
    Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  19. 19
    Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  20. 20
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    “…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …”
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