Nonlinear differential equations (DEs) are used in a wide range of scientific problems to model complex dynamic systems. The differential equations often contain unknown parameters that are of scie…
Wafer map defect patterns provide valuable information for root cause analysis and yield learning. Previous studies show that supervised machine learning (ML) methods can achieve good defect patter…
In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent anti-jamming communication, we present the…
We propose and demonstrate the power scalability in a novel random Raman fiber laser (RRFL) with localized random feedback provided by an ultrashort low-reflection random fiber grating (RFG). The R…
We collected and cleaned a large dataset on publications in statistics. The dataset consists of the co-author relationships and citation relationships of 83, 331 articles published in 36 representa…
To prevent the population from getting stuck in local areas and then missing the constrained Pareto front fragments in dealing with constrained multiobjective optimization problems (CMOPs), it is i…
Backscattering noise is a key factor to restrict the performance of resonant fiber optic gyroscopes (RFOG). In order to improve the accuracy of RFOG, this paper proposes a scheme with heterodyne op…
We present the structural design and polarization-maintaining performance of solid-core anti-resonant fiber with two nested circular tubes in 3 μm wavelength for the first time, to the best of our…
This paper proposes a novel chaotic power division multiplexing (CPDM) for secure optical multiple access. The proposed CPDM can not only improve spectral efficiency and the user number by multiple…