Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...
Abstract: To solve the computationally heavy inversion of the soil thermal resistivity and the real time ampacity of power cable, a reinforcement learning-based two-modes (Mode 1 and Mode 2) ...
The cover image shows the flow of light with two different wavelengths (1,300 nm and 1,550 nm) through a silicon-chip wavelength demultiplexer. The device has been computationally designed using an ...
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