AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The scarcity in this study is constructed by subsampling a large corpus by changing only the number of real transcribed words used for fine-tuning across nine budgets from 10 to 4,000 and four initialisation regimes, with six seeds at every point.
EMFE (Efficient Mathematical Feature Extraction), a five-feature framework for classifying single red-blood-cell images as parasitized or uninfected using Gray World color normalization, adaptive green-channel thresholding, morphological spot detection, and classical machine learning, is presented.
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