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Found 3 papers, 2 papers with code
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
Compared to other neuro-symbolic approaches, the proposed method converges to a model that satisfies any inequality constraint on the training data and does not require to first transform the constraints into some ad-hoc term that is added to the learning (optimisation) objective.
A multi-layered energy consumption model for smart wireless acoustic sensor networks
This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.
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