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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

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C. Fontes

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Open access Sep 2026

Physics-informed neural networks without a phenomenological model available – applications in regression problems

Physics-Informed Neural Networks (PINNs) aim to incorporate the phenomenology of the process into their training through an additional mathematical model based on conservation principles (physical laws). This work presents a method for training feedforward neural networks with physics-informed constraints related to st...

Ghabriel A. Gomes de Sá, C. Fontes, M. Embiruçu · 0 citations

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