Knowledge Transfer Genetic Programming With Auxiliary Population for Solving …
The uncertain capacitated arc routing problem (UCARP) is an NP-hard combinatorial optimization problem with a wide range of applications in logistics domains. Genetic programming (GP) hyper-heurist…
AbdomenCT-1K : Is Abdominal Organ Segmentation a Solved Problem?
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable result…
Hardware-Efficient, Ultra-Fast and Joint Polarization and Carrier Phase Track…
The coherent digital subcarrier multiplexing (DSCM) has recently been proposed as a cost saving solution to realize flexible and scalable point-to-multipoint (PTMP) networks. In this work, a hardwa…
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of a controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic properties, and offer…
Frequency Response Enhancement of Φ-OTDR Using Interval-Sweeping Pulse Equiv…
An interval-sweeping pulse equivalent sampling (ISPES) method based on compressed sensing technique is proposed to enhance the frequency response of phase-sensitive optical time-domain reflectometr…
Externally-Triggered Spiking and Spiking Cluster Oscillation in Broadband Opt…
An approach to generating periodic spiking and spiking cluster in a broadband nonlinear opto-electronic oscillator (OEO) is proposed and demonstrated. Through injecting a long-duration square-wave …
Elimination of Side Lobe Ghost Peak Using Wiener Deconvolution Filter in OFDR
Ghost peaks refer to these peaks on backscattering trace measured by a reflectometer similar to Fresnel reflection peaks appearing at the position of non-reflection events in optical fiber or optic…
Ultra-Wide and Tunable Microwave Frequency Down-Conversion Based on Re-Circul…
A photonic-assisted scheme is proposed and demonstrated for microwave frequency down-conversion based on re-circulating opposite frequency shifting. The proposed method consists of a microwave sign…
Meta Balanced Network for Fair Face Recognition
Although deep face recognition has achieved impressive progress in recent years, controversy has arisen regarding discrimination based on skin tone, questioning their deployment into real-world sce…
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmen…
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., train…
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