Unbalanced classification has attracted widespread interest because of its broad applications. However, due to mainly the uneven class distribution, constructed classifiers are usually biased towar…
Refractive index profile (RIP) determines the property and effectiveness of optical fibers. Accurate measurement of the RIP is essential for fiber fabrication, test and calibration. At present, com…
A novel mode decomposition (MD) method based on multi-task learning (MTL) is proposed to obtain high-precision modal weights ( ρn2 ) and modal relative phases ( θn ). Due to the different physica…
System stability and robustness are highly desired in a mode division multiplexing (MDM) transmission system. The matching of the active fiber and transmission FMF effectively reduces the transmiss…
Harmonic mode locking (HML) was proved to be an effectively technique for generating high repetition rate ultrafast pulses. However, none of the various research methods currently used could improv…
Cost-sensitive learning is a popular approach to addressing the problem of class imbalance for many classification algorithms in machine learning. However, most cost-sensitive algorithms are depend…
Methodologies for functional principal component analysis are well established in the one-dimensional setting. However, for two-dimensional surfaces, for example, images, conducting functional prin…
Social media influencers are category enthusiasts who often post product recommendations. Firms sometimes pay influencers to skew their product reviews in favor of the firm. We ask the following re…
An amplifier model based on the Yb-doped segment cladding fiber (SCF) is proposed in this paper. Three contributions to heat source are taken into account in the proposed model, including the quant…
An all-optical graphene oxide modulator based on phase-shifted FBG is proposed and experimentally proved to overcome the electronic bottleneck. The phase-shifted FBG is formed by tapering and the s…