Real-Time FPGA Investigation of Potential FEC Schemes for 800G-ZR/ZR+ Forward…
Forward error correction (FEC) performance down to 1e-15 bit error rate (BER) of a open FEC code (OFEC), which was recently proposed for the 800G inter-data center interconnect (DCI) standard, is v…
Cascaded Feedforward Neural Network Based Simultaneously Fast and Precise Mul…
We present and investigate a scheme to realize fast and precise multi-characteristics extraction and error estimation of Brillouin frequency shift (BFS) simultaneously based on a cascaded feedforwa…
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks
Conventional machine learning algorithms suffer the problem that the model trained on existing data fails to generalize well to the data sampled from other distributions. To tackle this issue, unsu…
Learning Versatile Convolution Filters for Efficient Visual Recognition
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of efficient deep lear…
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method…
Due to the high variability and uncertainty of the wind speed, an interval forecast can provide more information for decision makers to achieve a better energy management compared to the traditiona…
Learning Generalisable Omni-Scale Representations for Person Re-Identification
An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment a…
Joint Feature Synthesis and Embedding : Adversarial Cross-Modal Retrieval Rev…
Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distribution via adversarial learning. Cross-modal GAN, which attempts to utilize the power of GAN to mo…
Real-Time FPGA Investigation of Interplay Between Probabilistic Shaping and F…
In this work, we implement a complete probabilistic amplitude shaping (PAS) architecture on a field-programmable gate array (FPGA) platform to study the interplay between probabilistic shaping (PS)…
Highly Localized Point-by-Point Fiber Bragg Grating for Multi-Parameter Measu…
A three-parameter sensor based on a point-by-point fiber Bragg grating (PBP-FBG) is proposed. The fabricated sensor is 40 mm long. The spectrum loss at 1336.15 nm is selected to measure the surroun…
Experimental Demonstration of Nonlinear Scattering Processes in a Microbottle…
Microbottle resonators (MBR) have attracted research interest for studying nonlinear optical interactions in last two decades, due to the ultra-tight optical confinement in spaces of three dimensio…
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