An overview of digital video watermarking
The illegal distribution of a digital movie is a common and significant threat to the film
industry. With the advent of high-speed broadband Internet access, a pirated copy of a …
industry. With the advent of high-speed broadband Internet access, a pirated copy of a …
A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: Shallow and deep learning
The objective of this paper is to present a comprehensive review of the contemporary
techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs) …
techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs) …
[HTML][HTML] A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition
Digital data sharing is increased day by day due to the rapid access of the Internet by mass
people. Multimedia, for example text, image, video, and audio can be easily accessed by …
people. Multimedia, for example text, image, video, and audio can be easily accessed by …
Power normalized cepstral robust features of deep neural networks in a cloud computing data privacy protection scheme
Abstract Deep Neural Networks (DNNs) have developed rapidly in data privacy protection
applications such as medical treatment and finance. However, DNNs require high-speed …
applications such as medical treatment and finance. However, DNNs require high-speed …
Twenty years of digital audio watermarking—a comprehensive review
Digital audio watermarking is an important technique to secure and authenticate audio
media. This paper provides a comprehensive review of the twenty years' research and …
media. This paper provides a comprehensive review of the twenty years' research and …
A data-driven koopman approach for power system nonlinear dynamic observability analysis
A prerequisite to dynamic state estimation of a stochastic nonlinear dynamic model of a
power system is its observability analysis. However, due to the model nonlinearity, the …
power system is its observability analysis. However, due to the model nonlinearity, the …
Bearing fault diagnosis based on SVD feature extraction and transfer learning classification
F Shen, C Chen, R Yan, RX Gao - 2015 prognostics and system …, 2015 - ieeexplore.ieee.org
This paper presents a transfer learning-based approach for bearing fault diagnosis, where
the transfer strategy is proposed to improve diagnostic performance of the bearings under …
the transfer strategy is proposed to improve diagnostic performance of the bearings under …
Reversible watermarking scheme for medical image based on differential evolution
Currently, most medical images are stored and exchanged with little or no security; hence it
is important to provide protection for the intellectual property of these images in a secured …
is important to provide protection for the intellectual property of these images in a secured …
Extraction of fetal electrocardiogram by combining deep learning and SVD-ICA-NMF methods
This paper deals with detecting fetal electrocardiogram FECG signals from single-channel
abdominal lead. It is based on the Convolutional Neural Network (CNN) combined with …
abdominal lead. It is based on the Convolutional Neural Network (CNN) combined with …
M-sequences and sliding window based audio watermarking robust against large-scale crop** attacks
G Zhang, L Zheng, Z Su, Y Zeng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Large-scale crop** (LSC) is one of the mostly-used operations in desynchronization
attacks and can easily destroy the watermark information by deleting continuous audio …
attacks and can easily destroy the watermark information by deleting continuous audio …