بدائل البحث:
resource optimization » resource utilization (توسيع البحث), resource utilisation (توسيع البحث), resource limitations (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
each resource » health resource (توسيع البحث), space resource (توسيع البحث), a resource (توسيع البحث)
binary each » binary health (توسيع البحث)
resource optimization » resource utilization (توسيع البحث), resource utilisation (توسيع البحث), resource limitations (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
each resource » health resource (توسيع البحث), space resource (توسيع البحث), a resource (توسيع البحث)
binary each » binary health (توسيع البحث)
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
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Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
منشور في 2020"…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…"
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Seed mix selection model
منشور في 2022"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"
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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.…"