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Showing 1 - 6 results of 6 for search 'insects selection algorithm', query time: 0.22s Refine Results
  1. 1
    The algorithm of the AWGE-ESPCA model.

    The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

    Published 2025
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  2. 2
    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. The heat map (on the right) is the correlation matrix after feature selection, in which features whose Pearson’s correlation coefficient is higher than 0.8 are considered highly correlated. We keep only one representative feature and remove its highly correlated features.

    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

    Published 2025
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  3. 3
    Processed ASV data from the Insect Biome Atlas Project

    Processed ASV data from the Insect Biome Atlas Project by Andreia Miraldo (15166741)

    Published 2024
    “…If no taxonomic assignment was above the 80% threshold, the algorithm continued to the parent rank in the taxonomy. …”
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  4. 4
    Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf

    Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf by Eric Yanchenko (3266514)

    Published 2025
    “…<p>Insect trap networks targeting agricultural pests are commonplace but seldom optimized to improve precision or efficiency. …”
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  5. 5
    Flow chart of the AWGE-ESPCA model.

    Flow chart of the AWGE-ESPCA model. by Rui Miao (1592461)

    Published 2025
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  6. 6
    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
    “…This algorithm, in most cases, improved the insecticidal efficacy of dsRNA treatments in <i>T. castaneum</i> and two other coleopteran pests. …”
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