Search alternatives:
process optimization » model optimization (Expand Search)
driver optimization » driven optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
care process » care processes (Expand Search), cycle process (Expand Search), care access (Expand Search)
binary care » primary care (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a driver » _ drivers (Expand Search), _ drive (Expand Search), _ driven (Expand Search)
process optimization » model optimization (Expand Search)
driver optimization » driven optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
care process » care processes (Expand Search), cycle process (Expand Search), care access (Expand Search)
binary care » primary care (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a driver » _ drivers (Expand Search), _ drive (Expand Search), _ driven (Expand Search)
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Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
Published 2022“…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …”
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PathOlOgics_RBCs Python Scripts.zip
Published 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
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.…”