بدائل البحث:
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
robust optimization » process optimization (توسيع البحث), robust estimation (توسيع البحث), joint optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary art » binary pairs (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
robust optimization » process optimization (توسيع البحث), robust estimation (توسيع البحث), joint optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary art » binary pairs (توسيع البحث)
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The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
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The statistical description of the original data set of the patients (<i>n</i> = 162).
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…The goal of this </p><p dir="ltr">research is to combine state-of-the-art deep learning techniques with optimization algorithms to develop a precise </p><p dir="ltr">and efficient predictive system for melanoma detection. …"
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Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx
منشور في 2021"…In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. …"
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Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start
منشور في 2025"…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …"
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Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start
منشور في 2025"…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …"
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Classification baseline performance.
منشور في 2025"…The contributions include developing a baseline Convolutional Neural Network (CNN) that achieves an initial accuracy of 86.29%, surpassing existing state-of-the-art deep learning models. Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"