بدائل البحث:
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
binary scale » binary image (توسيع البحث)
scale models » scale model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data dose » data due (توسيع البحث), data de (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
binary scale » binary image (توسيع البحث)
scale models » scale model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data dose » data due (توسيع البحث), data de (توسيع البحث)
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Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model
منشور في 2019"…The solubility predictions of fusidic acid, fusidic acid acetone solvate, and sodium fusidate in various single solvents show good agreement with experimental solubility with average squared relative errors of 0.055, 0.079, and 0.084 in logarithmic mole fraction scale, respectively. The model moreover predicts solubilities in binary solvent mixture and as a function of temperature in satisfactory agreement with experimental solubility.…"
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MCLP_quantum_annealer_V0.5
منشور في 2025"…<p dir="ltr">Geospatial optimization problems are fundamental research issues in geographic information science modeling, characterized by high dimensionality, dynamics, and discreteness. …"
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
منشور في 2019"…The MapReduce parallel programming model on the Hadoop platform is used to perform an adaptive fusion of hue, local binary pattern (LBP) and scale-invariant feature transform (SIFT) features extracted from images to derive optimal combinations of weights. …"
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Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
منشور في 2022"…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"
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Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
منشور في 2025"…Optimization with GridSearchCV corroborated this stagnation, identifying a simple linear model (C=0.05, gamma='scale') as the optimal configuration, indicating that the additional complexity of nonlinear kernels did not confer predictive gains. …"
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</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.…"