Optical Beams Switching-Based Coverage Enhancement Scheme for Compact Visible…
Visible light communication (VLC) has been recognized as one promising candidate to satisfy the unprecedented throughput requirement of near-future mobile wireless networks. Due to the directional …
On-Chip Self-Referenced Micro-Resonators Enhanced by Digital Optical Frequenc…
An on-chip self-referenced transducer assisted by digital optical frequency comb (DOFC) technology is presented for the biomolecules detection in the lower detecting limit. This self-referenced str…
Tuning Dynamics of the Acousto-Optical Tunable SOA Fiber Laser
Acoustically-induced fiber gratings (AIFGs) can be employed as the main device to achieve wide-range, time-linear, and fast wavelength tunability of various lasers, due to their fast spectral respo…
7-M/130-Mbps LED-to-LED Underwater Wireless Optical Communication Based on Ar…
In this paper, the arrays consist of series-connected monochromatic light-emitting diodes (LEDs) are proposed as the transmitter and receiver to implement an LED-to-LED underwater wireless optical …
Uncovering Synergy and Dysergy in Consumer Reviews: A Machine Learning Approach
Massive online text reviews can be a powerful market research tool for understanding consumer experiences and helping firms improve and innovate. This research exploits the rich semantic properties…
Recurrent Multi-Frame Deraining : Combining Physics Guidance and Adversarial …
Existing video rain removal methods mainly focus on rain streak removal and are solely trained based on the synthetic data, which neglect more complex degradation factors, e.g., rain accumulation, …
QML and Efficient GMM Estimation of Spatial Autoregressive Models with Domina…
This article investigates QML and GMM estimation of spatial autoregressive (SAR) models in which the column sums of the spatial weights matrix might not be uniformly bounded. We develop a central l…
GPCA : A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Channel attention mechanisms have been commonly applied in many visual tasks for effective performance improvement. It is able to reinforce the informative channels as well as to suppress the usele…
AGO-Net : Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas current 3D object detection methods based on LiDAR point clouds still report inferior performance for detecting occluded and…
Object Detection in Aerial Images : A Large-Scale Benchmark and Challenges
In he past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of objects caused by the…
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