Portfolio allocation is an important topic in financial data analysis. In this article, based on the mean-variance optimization principle, we propose a synthetic regression model for construction o…
In the era of data science, it is common to encounter data with different subsets of variables obtained for different cases. An example is the split questionnaire design (SQD), which is adopted to …
A novel low-complexity combined resampling, retiming and equalizing (RRE) algorithm is proposed. The RRE algorithm uses a single FIR filter for resampling, retiming and equalizing and thus lower th…
Modern reinforcement learning (RL) is commonly applied to practical problems with an enormous number of states, where function approximation must be deployed to approximate either the value functio…
It is foreseeable that the 100 Gb/s/ λ and beyond passive optical network (PON) will be required in future optical access networks to meet the explosive growth of data traffic. The coherent optica…
Brushing—online merchants placing fake orders of their own products—has been a widespread phenomenon on major e-commerce platforms. One key reason why merchants brush is that it boosts their ra…
Optical surface wave excited by nanocoatings has enabled fiber-optic sensors with high sensitivity to the change in external environment generally characterized by bulk refractive index (RI). Nonet…
With the development of information technology, optical access network gradually presents the characteristics of multi-domain, multi-layer and multi-vendor. The network slicing technology provides …
In large-scale multiobjective optimization, too many decision variables hinder the convergence search of evolutionary algorithms. Reducing the search range of the decision space will significantly …