بدائل البحث:
based optimization » whale optimization (توسيع البحث)
dose optimization » model optimization (توسيع البحث), wolf optimization (توسيع البحث), design optimization (توسيع البحث)
values based » value based (توسيع البحث), values used (توسيع البحث), values ranged (توسيع البحث)
binary b » binary _ (توسيع البحث)
b dose » b doses (توسيع البحث), _ dose (توسيع البحث), a dose (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
dose optimization » model optimization (توسيع البحث), wolf optimization (توسيع البحث), design optimization (توسيع البحث)
values based » value based (توسيع البحث), values used (توسيع البحث), values ranged (توسيع البحث)
binary b » binary _ (توسيع البحث)
b dose » b doses (توسيع البحث), _ dose (توسيع البحث), a dose (توسيع البحث)
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121
Quadratic polynomial in 2D image plane.
منشور في 2024"…This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …"
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122
Flow diagram of the automatic animal detection and background reconstruction.
منشور في 2020"…For the region that the animal has left since the first frame, the pixel values are positive (green). (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). …"
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123
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr">Encoding: Categorical variables such as surface coating and cell type were grouped into logical classes and label-encoded to enable model compatibility.</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"
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124
DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
منشور في 2024"…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2 = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …"
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125
Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
منشور في 2024"…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2 = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …"
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126
Seed mix selection model
منشور في 2022"…</p> <p> </p> <p>We applied the seed mix selection model using a binary genetic algorithm to select seed mixes (R package ‘GA’; Scrucca 2013; Scrucca 2017). …"