بدائل البحث:
processing identification » professional identification (توسيع البحث), progression identification (توسيع البحث), protein identification (توسيع البحث)
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
binary sample » final sample (توسيع البحث), binary people (توسيع البحث), intra sample (توسيع البحث)
processing identification » professional identification (توسيع البحث), progression identification (توسيع البحث), protein identification (توسيع البحث)
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
binary sample » final sample (توسيع البحث), binary people (توسيع البحث), intra sample (توسيع البحث)
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LScD (Leicester Scientific Dictionary)
منشور في 2020"…These words have been substituted to “ztest”, “wellknown” and “chisquare”. Identification of such words is done by sampling of abstracts form LSC. …"
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UMAHand: Hand Activity Dataset (Universidad de Málaga)
منشور في 2024"…<p dir="ltr">The objective of the UMAHand dataset is to provide a systematic, Internet-accessible benchmarking database for evaluating algorithms for the automatic identification of manual activities. …"
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Raw LC-MS/MS and RNA-Seq Mitochondria data
منشور في 2025"…The data were filtered as follows: (a) binary expression of a protein (i.e., protein exclusively identified in either scLRP1+/+ or scLRP1-/-) was only considered relevant if all scLRP1+/+ samples or all scLRP1-/- samples expressed the protein. …"
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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.…"