Joint Linear and Nonlinear Equalization Based on Cascaded ANN-MLSE With a Mod…
High-speed optical transmission systems suffer from severe inter-symbol interferences (ISIs) and nonlinear distortions due to the limited bandwidth and the nonlinear response of optical and electri…
High Power-Efficiency, Low DMG Cladding-Pumped Few-Mode Er/Yb/P Co-Doped Fibe…
Mode division multiplexing (MDM) is considered to be an efficient solution to alleviate the exponentially increasing “capacity crunch”. Here, we numerically and experimentally demonstrate a hig…
A Fast Multipoint Expected Improvement for Parallel Expensive Optimization
The multipoint expected improvement (EI) criterion is a well-defined parallel infill criterion for expensive optimization. However, the exact calculation of the classical multipoint EI involves eva…
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differen…
This article deals with a practical distributed hybrid differentiation flowshop scheduling problem (DHDFSP) for the first time, where manufacturing products to minimize makespan criterion goes thro…
Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Erro…
Regression-based face alignment involves learning a series of mapping functions to predict the true landmarks from an initial estimation of the alignment. Most existing approaches focus on learning…
Enhancing the Effect of Nonlinear Frequency Sweep Correction in OFDR With Imp…
Correcting the nonlinear frequency sweep of the tunable laser source in optical frequency domain reflectometry (OFDR) is critical for accurate measurement. It is common to correct the nonlinear fre…
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Diff…
This research presents an original and efficient elite archive-assisted adaptive memetic algorithm (EAMA) to deal with a realistic hybrid differentiation flowshop scheduling problem (HDFSP) with th…
A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning
Kriging models, also known as Gaussian process models, are widely used in surrogate-assisted evolutionary algorithms (SAEAs). However, the cubic time complexity of the standard Kriging models limit…
Er3+/Ce3+ Co-Doped Phosphosilicate Fiber for Extend the L-Band Amplification
Withthe advent of the 5G era, the demand for data communication is increasing explosively. Extending the L-band gain bandwidth is considered to be the most direct and effective approach to increasi…
Efficient Construction of an HSS Preconditioner for Symmetric Positive Defini…
In an iterative approach for solving linear systems with dense, ill-conditioned, symmetric positive definite (SPD) kernel matrices, both fast matrix-vector products and fast preconditioning operati…
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