An effective detection of COVID‐19 using adaptive dual‐stage horse herd bidirectional long short‐term memory framework
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22747
Abstract: COVID‐19 is a quickly increasing severe viral disease that affects the human beings as well as animals. The increasing amount of infection and death due to COVID‐19 needs timely detection. This work presented an innovative… read more here.
Keywords: herd bidirectional; adaptive dual; covid; horse herd ... See more keywords
An Adaptive Dual MPC Scheme based on Output Error Models Parameterized using Generalized Orthonormal Basis Filters
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1644
Abstract: Abstract A significant fraction of industrial MPC schemes employ linear prediction models. Closed loop performance of a linear model based MPC scheme can deteriorate over a period of time if the prediction model is not… read more here.
Keywords: mpc; mpc scheme; adaptive dual; model ... See more keywords
Adaptive Dual-Comb Spectroscopy With 1200-h Continuous Operation Stability
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2018.2864986
Abstract: Dual-comb spectroscopy (DCS), without moving mirrors, enables fast optical sampling of molecular vibrations and results in high-resolution and high-accuracy Fourier-transform spectra. This motionless technique holds much promise in gas sensing and environmental monitoring. However, in… read more here.
Keywords: comb spectroscopy; dual comb; adaptive dual; spectroscopy ... See more keywords
MRI and SPECT Image Fusion Using a Weighted Parameter Adaptive Dual Channel PCNN
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.2989054
Abstract: Pulse coupled neural network (PCNN) is widely used in image fusion framework due to its global coupling and pulse synchronization of neurons. However, its manual setting of parameters and inability to process multiple images affect… read more here.
Keywords: fusion; pcnn; weighted parameter; image fusion ... See more keywords
Adaptive Dual-Path Collaborative Learning for PAN and MS Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3223921
Abstract: Due to the limitation of sensor technology, researchers tend to obtain high-quality image information from panchromatic (PAN) images and multispectral (MS) images with different resolutions. Therefore, the classification of remote sensing images of PAN and… read more here.
Keywords: path collaborative; classification; collaborative learning; adaptive dual ... See more keywords
Distributed Adaptive Dual Control via Consensus Algorithm in the Energy Internet
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3031437
Abstract: This article investigates a distributed adaptive dual control that employs both consensus algorithm and improved equal incremental principle (IEIP), to guarantee the security operation while reducing the energy consumption of the energy Internet (EI). Since… read more here.
Keywords: consensus; control; adaptive dual; distributed adaptive ... See more keywords
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3027341
Abstract: We present a convolutional neural network (CNN) equipped with a novel and efficient adaptive dual attention module (ADAM) for automated skin lesion segmentation from dermoscopic images, which is an essential yet challenging step for the… read more here.
Keywords: attention; adaptive dual; segmentation; lesion ... See more keywords
Image Restoration Based on Adaptive Dual-Domain Filtering
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/4790174
Abstract: Image restoration is a long-standing problem in low-level computer vision. In this paper, we offer a simple but effective estimation paradigm for various image restoration problems. Specifically, we first propose a model-based Gaussian denoising method… read more here.
Keywords: dual domain; image; domain filtering; image restoration ... See more keywords
Deep spatial-spectral prior with an adaptive dual attention network for single-pixel hyperspectral reconstruction.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.460418
Abstract: Recently, single-pixel imaging has shown great promise in developing cost-effective imaging systems, where coding and reconstruction are the keys to success. However, it also brings challenges in capturing hyperspectral information accurately and instantly. Many works… read more here.
Keywords: spatial spectral; adaptive dual; pixel hyperspectral; reconstruction ... See more keywords