Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Abstract: This letter presents a Bayesian optimization framework based on MetaRGBX-Net for tuning meta-atom diameters to achieve specific RGB sensitivity and interpixel crosstalk (XTALK) targets.

Abstract: Accurate bathymetric data are critical for marine ecological balance and resource management. Deep learning algorithms, known for their capacity to model complex, multivariate, and nonlinear ...