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Showing 1 to 2 of 2 for “"Opposition-based learning"”.
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Novel opposition-based sampling methods for efficiently solving challenging optimization problems
… schemes, namely: Center-Point, Center-Based, Modula-Opposite, Quasi-Opposite, Quasi-Reflection, Supper- Opposite, and Opposite-Random. The introduced schemes are studied using Monte-Carlo simulation, on various types of noise-free optimization problems, and ultimately ranked based on …
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Deep learning-based seagrass detection and classification from underwater digital images
Deep learning is the most popular branch of machine learning and has achieved great success in many real-life applications. Deep learning algorithms, in particular Convolutional Neural Networks (CNNs), have rapidly become a method of choice for analysing seagrass image data. Deep learning-based …