Search alternatives:
group classification » _ classification (Expand Search), image classification (Expand Search), text classification (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
binary a » binary rat (Expand Search)
base » based (Expand Search), case (Expand Search)
group classification » _ classification (Expand Search), image classification (Expand Search), text classification (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
binary a » binary rat (Expand Search)
base » based (Expand Search), case (Expand Search)
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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2
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
Published 2023“…The VGG19 network yielded a health condition classification accuracy of 100% with an RMSE of 0.33% and a maximum classification error score of 0.87 %.…”
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…In the first stage, we performed binary classification, grouping SAH severity into “Good Outcome” (class 0), which includes MRS levels 0, 1, 2, and 3, and “Poor Outcome” (class 1), encompassing levels 4, 5, and 6. …”