بدائل البحث:
based optimization » whale optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
binary i » binary _ (توسيع البحث)
binary b » binary _ (توسيع البحث)
b codon » _ codon (توسيع البحث), b common (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
binary i » binary _ (توسيع البحث)
binary b » binary _ (توسيع البحث)
b codon » _ codon (توسيع البحث), b common (توسيع البحث)
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121
Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
منشور في 2025"…The single predictor variable was the mushroom habitat, a categorical feature that was preprocessed using the One-Hot Encoding technique, resulting in seven distinct binary variables. …"
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122
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123
Steps in the extraction of 14 coordinates from the CT slices for the curved MPR.
منشور في 2025"…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …"
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124
GSE96058 information.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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125
The performance of classifiers.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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128
Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease
منشور في 2025"…Regions of interest were delineated using 3D Slicer software, and radiomics features were extracted with the Pyradiomics package in Python. <i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …"
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129
Bayesian sequential design for sensitivity experiments with hybrid responses
منشور في 2023"…<p>In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. …"
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130
Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx
منشور في 2020"…In this predictor, we introduced a sequence-based feature algorithm consisting of two feature representations, (1) k-mer spectrum and (2) positional nucleotide binary vector, to capture the sequential characteristics of 5hmC sites. …"
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131
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133
DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
منشور في 2024"…Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. …"
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134
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136
Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model
منشور في 2025"…This framework integrates a novel biologically inspired optimization algorithm, the Indian Millipede Optimization Algorithm (IMOA), for effective feature selection. …"
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137
Supplementary Material 8
منشور في 2025"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"
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138
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139
Seed mix selection model
منشور في 2022"…GA: A Package for Genetic Algorithms in R. <em>Journal of Statistical Software</em>, <em>53</em>, 1-37. http://www.jstatsoft.org/v53/i04</p> <p>Scrucca, L. (2017). …"
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140
Flow diagram of the automatic animal detection and background reconstruction.
منشور في 2020"…(E) The threshold value is calculated based on the histogram: it is the mean of the image subtracted by 4 (optimal value defined by trial and error). …"