Zobrazeno 1 - 10
of 326
pro vyhledávání: '"Bingo Wing‐Kuen Ling"'
Publikováno v:
IET Image Processing, Vol 18, Iss 8, Pp 2126-2143 (2024)
Abstract Magnetic resonance imaging (MRI) is a non‐interposition imaging technique that provides rich anatomical and physiological information. Yet it is limited by the long imaging time. Recently, deep neural networks have shown potential to signi
Externí odkaz:
https://doaj.org/article/3e7b955bcc064008a92255837b9510ee
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2367 (2024)
The integration of Synthetic Aperture Radar (SAR) imaging technology with deep neural networks has experienced significant advancements in recent years. Yet, the scarcity of high-quality samples and the difficulty of extracting prior information from
Externí odkaz:
https://doaj.org/article/caae206622b149ed9638c755ba13e2cd
Publikováno v:
IET Systems Biology, Vol 17, Iss 3, Pp 107-120 (2023)
Abstract The traditional blood glucose estimation method requires to take the invasive measurements several times a day. Therefore, it has a high infection risk and the users are suffered from the pain. Moreover, the long term consumable cost is high
Externí odkaz:
https://doaj.org/article/3eb92c299be34e3c800068a092656fde
Sparse SAR Imaging Algorithm in Marine Environments Based on Memory-Augmented Deep Unfolding Network
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1289 (2024)
Oceanic targets, including ripples, islands, vessels, and coastlines, display distinct sparse characteristics, rendering the ocean a significant arena for sparse Synthetic Aperture Radar (SAR) imaging rooted in sparse signal processing. Deep neural n
Externí odkaz:
https://doaj.org/article/25c5b265ca6741a4b19243ddcb5a19d3
Publikováno v:
Electronics Letters, Vol 59, Iss 18, Pp n/a-n/a (2023)
Abstract Consider general minimum variance distortionless response (MVDR) robust adaptive beamforming problems based on the optimal estimation for both the desired signal steering vector and the interference‐plus‐noise covariance (INC) matrix. Th
Externí odkaz:
https://doaj.org/article/c0482bf58db04e73811d64f338bff23d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8102-8114 (2023)
Multivariate ridge regression (MR), linear discriminant analysis (LDA) and extreme learning machine (ELM) have been widely used in hyperspectral image (HSI) classification. However, these methods do not consider the influence of noise in HSIs, spatia
Externí odkaz:
https://doaj.org/article/dd09ee7b0d8e412aa32d8d8af03e9918
Publikováno v:
IEEE Access, Vol 11, Pp 29946-29958 (2023)
In the Internet of Things (IoT) communications, visual data are frequently processed among intelligent devices using artificial intelligence algorithms, replacing humans for analysis and decision-making while only occasionally requiring human scrutin
Externí odkaz:
https://doaj.org/article/eb846cae49e3444eb6455ae7435f3e28
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 212 (2024)
The integration of deep neural networks into sparse synthetic aperture radar (SAR) imaging is explored to enhance SAR imaging performance and reduce the system’s sampling rate. However, the scarcity of training samples and mismatches between the tr
Externí odkaz:
https://doaj.org/article/787c2f93ee1940ac858320ae0fbd1d0e
Publikováno v:
Electronics Letters, Vol 59, Iss 15, Pp n/a-n/a (2023)
Abstract In this paper, the application of a hybrid representation in wide‐angle synthetic aperture radar (WASAR) imaging is investigated, addressing the challenge of achieving sparse representation in the presence of complex electromagnetic scatte
Externí odkaz:
https://doaj.org/article/d3e8ef84a52d4f6e86a69dd89f18e81e
Publikováno v:
Sensors, Vol 23, Iss 23, p 9319 (2023)
With the advent of autonomous vehicle applications, the importance of LiDAR point cloud 3D object detection cannot be overstated. Recent studies have demonstrated that methods for aggregating features from voxels can accurately and efficiently detect
Externí odkaz:
https://doaj.org/article/97e60d445acf49d5adf6080ad62f8bfa