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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

L. D. de Araújo

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2 papers indexed here

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Open access Sep 2026

KalWeNN: Kalman-Filtered Memory for Weightless Neural Network Classifiers

Weightless Neural Networks (WNNs) such as WiSARD learn by storing information directly in RAM-based memory structures, enabling fast training and efficient hardware implementation. However, conventional WiSARD memories store only binary activations or occurrence counts, providing no measure of confidence in the stored...

Helena A. B. Moreno, Natasha C. da Fonseca, Gustavo R. Villela et al. · 0 citations
Open access Sep 2026

Color Image Classification on Edge by Fusing Visual Feature Extractors and Weightless Neural Networks

Weightless Neural Networks (WNNs) are a promising alternative for the image classification problem in an edge computing environment due to their low computational cost. However, the direct use of this model requires converting the image to grayscale to facilitate the conversion of an image into its binary representatio...

Marina S. R. P. Magalhães, L. D. de Araújo · 0 citations

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