Search alternatives:
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
levels using » level using (Expand Search), models using (Expand Search), cells using (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
levels using » level using (Expand Search), models using (Expand Search), cells using (Expand Search)
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State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing
Published 2025“…Then the feature extraction is performed using the Gray Level Co-occurrence Matrix. For classification, the Meta Ensemble-based Random Cat Gradient Boost model is introduced by combining the merits of multiple classifiers to enhance prediction performance. …”
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Solving the three-objectives numerical problem from [36] using a generalized version of the ROSE algorithm for three-objective problems: (a) The Pareto front representation corresponding to three recursive levels of the algorithm....
Published 2025“…<p>Solving the three-objectives numerical problem from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0327994#pone.0327994.ref036" target="_blank">36</a>] using a generalized version of the ROSE algorithm for three-objective problems: (a) The Pareto front representation corresponding to three recursive levels of the algorithm. …”
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Parameters of each algorithm.
Published 2025“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”
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Comparing true and predicted values of the top 2–3 categories in different level attractions.
Published 2024Subjects: -
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