Abstract: Surrogate models are increasingly used to reduce the computational costs of building performance simulation (BPS) models. However, they are rarely coupled with optimization algorithms to ...
Construction’s fragmentation has long stalled automation, but recent advances in AI and robotics are finally creating a ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...
Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...
Abstract: This paper proposes a deep learning-powered method with transfer learning capability to accelerate RF active circuit design. A schematic-level surrogate model for broadband matching is ...
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