بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
data model » data models (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
data model » data models (توسيع البحث)
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201
SPAM-XAI using the CM1 dataset.
منشور في 2024"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"
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202
Analysis of CM1 ROC curve.
منشور في 2024"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"
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203
SPAM-XAI confusion matrix using PC1 dataset.
منشور في 2024"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"
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204
Analysis PC1 AU-ROC curve.
منشور في 2024"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"
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205
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206
SBM 2023 Poster: Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study
منشور في 2023"…For the MLP, 90 random layer architectures were tested for optimization. Prior 5-week hourly walking data, including missingness, was used for predictors. …"
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207
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Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX
منشور في 2021"…When optimizing culture media for primary cells used in cell and gene therapy, traditional DoE approaches that depend on interpretable models will not always provide reliable predictions due to high donor variability. …"
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211
Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE
منشور في 2025"…Additionally, data imbalance in medical datasets further limits the reliability of current models. …"
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212
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215
Heavy-load transfer steel platform.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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216
Traditional scaffolding reinforcement system.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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217
Table_1_Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation.DOCX
منشور في 2024"…ECR was programmed in accordance with international guidelines. Risk analysis algorithms (cross-decomposition algorithms) were employed to rank risk factors based on variances in their effects. …"
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