Differential Evolution-Based Feature Selection: A Niching-Based Multiobjectiv…
Feature selection is to reduce both the dimensionality of data and the classification error rate (i.e., increase the classification accuracy) of a learning algorithm. The two objectives are often c…
Ultra-Wideband OAM Mode Generator Based on a Helical Grating Written in a Gra…
An ultra-wideband orbital-angular-momentum (OAM) mode generator has been proposed and demonstrated both theoretically and experimentally, which is based on a helical long period fiber grating (HLPG…
A Coalesce Security System of PDM and SDM Based on a Flexible Configuration o…
The purpose of this study is to present a security system that combines PDM and SDM and is based on the flexible configuration of multi-channel keys. The proposed system will utilize three distinct…
One-Time Pad Strategy Combined With Dynamic Key Embedding and Multi-Level Cha…
Chaotic encryption is a potential scheme for the communication security of radio-over-fiber (RoF) system. In this paper, a one-time pad strategy combined with dynamic key embedding and multi-level …
A Wideband Balun-Based Microwave Device for Quantum Information Processing Wi…
We present a wideband balun-based microwave device for quantum manipulation of nitrogen-vacancy centers in diamond. The device employs a balun with multi-section Chebyshev impedance transformer to …
Low-Complexity Visible Light Positioning and Rotation Estimation Based on Eig…
Most existing visible light positioning (VLP) systems assume vertically placed receivers, or estimate the receiver rotations through gyroscopes. Although several recent VLP systems can deal with th…
Segmenting Objects From Relational Visual Data
In this article, we model a set of pixelwise object segmentation tasks — automatic video segmentation (AVS), image co-segmentation (ICS) and few-shot semantic segmentation (FSS) — in a unified …
Investigating the Correlation Amongst the Objective and Constraints in Gaussi…
Expensive constrained optimization refers to problems where the calculation of the objective and/or constraint functions are computationally intensive due to the involvement of complex physical exp…
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and…
It is quite laborious and costly to manually label LiDAR point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised framework which allows learning 3D de…
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