بدائل البحث:
surface optimization » surface contamination (توسيع البحث), resource optimization (توسيع البحث), swarm optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
image surface » orange surface (توسيع البحث), scale surface (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data dose » data due (توسيع البحث), data de (توسيع البحث)
surface optimization » surface contamination (توسيع البحث), resource optimization (توسيع البحث), swarm optimization (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
image surface » orange surface (توسيع البحث), scale surface (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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A new fast filtering algorithm for a 3D point cloud based on RGB-D information
منشور في 2019"…Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …"
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2
PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …"
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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.…"