Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), codon optimization (Expand Search)
work optimization » wolf optimization (Expand Search), swarm optimization (Expand Search), fox optimization (Expand Search)
image models » climate models (Expand Search), change models (Expand Search), damage model (Expand Search)
binary based » library based (Expand Search), binary mask (Expand Search), linac based (Expand Search)
based work » based aor (Expand Search), based network (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), codon optimization (Expand Search)
work optimization » wolf optimization (Expand Search), swarm optimization (Expand Search), fox optimization (Expand Search)
image models » climate models (Expand Search), change models (Expand Search), damage model (Expand Search)
binary based » library based (Expand Search), binary mask (Expand Search), linac based (Expand Search)
based work » based aor (Expand Search), based network (Expand Search)
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…”
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Published 2025“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”
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Flowchart scheme of the ML-based model.
Published 2024“…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …”
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Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…<br><br>Methods<br><br>This work is a quantitative and experimental study of supervised classification. …”
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