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loop optimization » codon optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
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binary model » final model (Expand Search), injury model (Expand Search), tiny model (Expand Search)
image loop » image 1_look (Expand Search)
model llm » models llms (Expand Search)
loop optimization » codon optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
llm optimization » led optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
binary model » final model (Expand Search), injury model (Expand Search), tiny model (Expand Search)
image loop » image 1_look (Expand Search)
model llm » models llms (Expand Search)
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Flow diagram of the automatic animal detection and background reconstruction.
Published 2020“…If the identical blob that was detected in panel J (bottom) is found in any of the new subtracted binary images (cyan arrow), the animal is considered as having left its original position, and the algorithm continues. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">Encoding: Categorical variables such as surface coating and cell type were grouped into logical classes and label-encoded to enable model compatibility.</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.…”