Increased Spurious-Free Dynamic Range in Frequency Sweeping Interferometry by…

We propose an envelope detrending method to correct parasitic amplitude modulation (AM) in frequency sweeping interferometry (FSI). Parasitic AM arises from effects such as device spectral response…

The Impact of Top Management Team Characteristics on the Choice of Earnings M…

Using a sample of Chinese A-share listed firms from 2000 to 2015, we investigate the association between a firm's use of earnings management strategies and the characteristics of its top management…

Semiotika dan hipersemiotika

All-Fiber High-Power 3 GHz Ultrafast Laser System At 2.0 μm

In this work, we report on a high-power all-fiber ultrafast laser system at 2.0 μm that delivers femtosecond pulses with a fundamental repetition rate of 3.0 GHz and a maximum output power of 33.1…

Locally Sparse Estimator for Functional Linear Regression Models

A new locally sparse (i.e., zero on some subregions) estimator for coefficient functions in functional linear regression models is developed based on a novel functional regularization technique cal…

Modelling and Anomalous Cluster Detection for Point Processes Using Process C…

We present a model using process convolutions, which describes spatial and temporal variations of the intensity of events that occur at random geographical locations. An inhomogeneous Poisson proce…

Multiobjective Differential Evolution With Speciation for Constrained Multimo…

This article proposes a novel differential evolution algorithm for solving constrained multimodal multiobjective optimization problems (CMMOPs), which may have multiple feasible Pareto-optimal solu…

Evolutionary Multitasking for Large-Scale Multiobjective Optimization

Evolutionary transfer optimization (ETO) has been becoming a hot research topic in the field of evolutionary computation, which is based on the fact that knowledge learning and transfer across the …

Automated Team Assembly in Mobile Games : A Data-Driven Evolutionary Approach…

Many mobile games adopt autobattle systems in which the major consideration of players is how to assemble strong teams. The automated team assembly (ATA) becomes a crucial issue from different stan…

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multio…

When solving constrained multiobjective optimization problems (CMOPs), the utilization of infeasible solutions significantly affects algorithm’s performance because they not only maintain diversi…