Search alternatives:
selective optimization » objective optimization (Expand Search), selective metallization (Expand Search), structure optimization (Expand Search)
based selective » based selection (Expand Search), based perspective (Expand Search), based predictive (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
selective optimization » objective optimization (Expand Search), selective metallization (Expand Search), structure optimization (Expand Search)
based selective » based selection (Expand Search), based perspective (Expand Search), based predictive (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN.
Published 2023Subjects: -
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”
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Demonstration of algorithm convergence.
Published 2025“…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …”
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General procedural flow of clustering algorithm.
Published 2024“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”
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ROC curve for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Confusion matrix for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”