Search alternatives:
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
damage processes » damage process (Expand Search), disease processes (Expand Search), storage processes (Expand Search)
gpu optimization » _ optimization (Expand Search), fox optimization (Expand Search), art optimization (Expand Search)
binary damage » binary image (Expand Search), binary data (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based gpu » based gpm (Expand Search), based gas (Expand Search), based g (Expand Search)
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
damage processes » damage process (Expand Search), disease processes (Expand Search), storage processes (Expand Search)
gpu optimization » _ optimization (Expand Search), fox optimization (Expand Search), art optimization (Expand Search)
binary damage » binary image (Expand Search), binary data (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based gpu » based gpm (Expand Search), based gas (Expand Search), based g (Expand Search)
-
1
-
2
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 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.…”