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Big data meet cyber-physical systems: A panoramic survey
The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …
are foreseen to revolutionize our world via creating new services and applications in a …
[PDF][PDF] Remote sensing satellite image processing techniques for image classification: a comprehensive survey
DR Sowmya, PD Shenoy… - International Journal of …, 2017 - researchgate.net
This paper is a brief survey of advance technological aspects of Digital Image Processing
which are applied to remote sensing images obtained from various satellite sensors. In …
which are applied to remote sensing images obtained from various satellite sensors. In …
[HTML][HTML] Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data
G Zhou, G Wu, X Zhou, C Xu, D Zhao, J Lin… - International Journal of …, 2023 - Elsevier
The water depth bias of LiDAR point cloud data has to be corrected. The previous models,
which used the fixed parameters for an entire water area, cannot efficiently correct the bias …
which used the fixed parameters for an entire water area, cannot efficiently correct the bias …
Enabling cyber‐physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber‐security
Cyber‐physical systems (CPS) help create new services and applications by revolutionising
our world in different fields through their tight interactions and automated decisions. This is …
our world in different fields through their tight interactions and automated decisions. This is …
Sparse representation-based radiomics for the diagnosis of brain tumors
G Wu, Y Chen, Y Wang, J Yu, X Lv, X Ju… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Brain tumors are the most common malignant neurologic tumors with the highest mortality
and disability rate. Because of the delicate structure of the brain, the clinical use of several …
and disability rate. Because of the delicate structure of the brain, the clinical use of several …
Data augmentation by multilevel reconstruction using attributed scattering center for SAR target recognition
B Ding, G Wen, X Huang, C Ma… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
The quality of synthetic aperture radar (SAR) images and the completeness of the template
database are two important factors in template-based SAR automatic target recognition. This …
database are two important factors in template-based SAR automatic target recognition. This …
ECG monitoring system integrated with IR-UWB radar based on CNN
W Yin, X Yang, L Zhang, E Oki - IEEE Access, 2016 - ieeexplore.ieee.org
In the demand for protecting the increasing aged groups from heart attacks, the improvement
of the mobile electrocardiogram (ECG) monitoring systems becomes significant. The …
of the mobile electrocardiogram (ECG) monitoring systems becomes significant. The …
[HTML][HTML] Denoising images corrupted with impulse, Gaussian, or a mixture of impulse and Gaussian noise
A Awad - Engineering Science and Technology, an International …, 2019 - Elsevier
In this paper, a cascade of stages is used to denoise images corrupted with Gaussian noise,
impulse noise or a mixture of the two. The proposed method is based on removing the …
impulse noise or a mixture of the two. The proposed method is based on removing the …
Wavelet-denoising multiple echo state networks for multivariate time series prediction
Motivated by the idea of'decomposition and ensemble', this paper proposes a novel method
based on the wavelet-denoising algorithm and multiple echo state networks to improve the …
based on the wavelet-denoising algorithm and multiple echo state networks to improve the …
SAR image despeckling based on combination of fractional-order total variation and nonlocal low rank regularization
Regularization method is an effective tool for synthetic aperture radar (SAR) image
despeckling. Design of the effective regularization terms describing the image priors plays a …
despeckling. Design of the effective regularization terms describing the image priors plays a …