Inverse Design Method for Horn Antennas Based on Knowledge-Embedded Physics-Informed Neural Networks
Abstract: This letter aims to overcome the challenges faced by physics-informed neural networks (PINNs) in metal structure design. Taking the design of horn antennas as an example, we propose ...
Biophilic Design tries to translate humans’ attraction to and desire for connection with Nature, namely biophilia, into the design of environments. However, to justify the psychological benefits and ...
Even though you are supposed to be learning the same task, the way it is explained can differ from person to person. One person might explain the steps in detail, while another might only convey the ...
Abstract: Federated learning (FL) enables collaborative training of a machine learning (ML) model across multiple parties, facilitating the preservation of users’ and institutions’ privacy by ...
Small and medium manufacturers (SMMs) face challenges when implementing digital twins due to fragmented data sources, inconsistent master data, and legacy assumptions that no longer reflect actual ...
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