Abstract: Movable antennas (MAs) have garnered significant attention in communication systems due to their flexible geometry arrays, which introduce a new degree of freedom. Numerous studies ...
This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to estimate the heating load on a building given eight different i… ...
Abstract: Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box ...
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