Search alternatives:
selection decrease » reduction decreased (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
feature » features (Expand Search)
selection decrease » reduction decreased (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
feature » features (Expand Search)
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The wetting feature of compound solutions.
Published 2025“…We prepared the blends of these five surfactants, each with a mass fraction of 0.5 wt%, in a 1:1 ratio, resulting in 10 blended solutions. We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
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Feature selection and feature importance ranking.
Published 2025“…<p>A: The flowchart of feature selection based on the RFE algorithm. B: The RFE results reflect the changes in the average R2 of the 20-fold pair-level cross-validation as the number of RFE rounds increases and the number of features decreases. …”
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<b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b>
Published 2025“…Age-corrected data revealed decreased islet frequency and increased inter-islet distances in the type 1 diabetes pancreas. …”
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Number of features selected.
Published 2025“…In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select the features and Extreme Learning Machine and Bootstrap Aggregation (ELM-BA) to classify the features is introduced. …”
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Correlation heatmap of selected features.
Published 2025“…In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select the features and Extreme Learning Machine and Bootstrap Aggregation (ELM-BA) to classify the features is introduced. …”
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IG feature selection process.
Published 2025“…This study proposes an IDS model for the IoMT that integrates advanced feature selection techniques and deep learning to enhance detection performance. …”