بدائل البحث:
process optimization » model optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
same process » damage process (توسيع البحث), simple process (توسيع البحث), phase process (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary same » binary image (توسيع البحث)
data dose » data due (توسيع البحث), data de (توسيع البحث)
process optimization » model optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
same process » damage process (توسيع البحث), simple process (توسيع البحث), phase process (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary same » binary image (توسيع البحث)
data dose » data due (توسيع البحث), data de (توسيع البحث)
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Image processing workflow.
منشور في 2020"…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"
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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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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
منشور في 2023"…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…"
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …"
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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.…"