Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research
Storing and communicating secret and/or private information has become part of our daily
life whether it is for our employment or personal well-being. Therefore, secure storage and …
life whether it is for our employment or personal well-being. Therefore, secure storage and …
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
Wavelet transform for rotary machine fault diagnosis: 10 years revisited
As a multi-resolution analysis method rooted rigorously in mathematics, wavelet transform
(WT) has shown its great potential in rotary machine fault diagnosis, characterized by …
(WT) has shown its great potential in rotary machine fault diagnosis, characterized by …
All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
WT Chen, HY Fang, CL Hsieh… - Proceedings of the …, 2021 - openaccess.thecvf.com
Snow is a highly complicated atmospheric phenomenon that usually contains snowflake,
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
snow streak, and veiling effect (similar to the haze or the mist). In this literature, we propose …
Infrared and visible image fusion methods and applications: A survey
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems
T Tripura, S Chakraborty - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
With massive advancements in sensor technologies and Internet-of-things (IoT), we now
have access to terabytes of historical data; however, there is a lack of clarity on how to best …
have access to terabytes of historical data; however, there is a lack of clarity on how to best …
End-to-end optimized image compression
We describe an image compression method, consisting of a nonlinear analysis
transformation, a uniform quantizer, and a nonlinear synthesis transformation. The …
transformation, a uniform quantizer, and a nonlinear synthesis transformation. The …
Automated detection of Alzheimer's disease using brain MRI images–a study with various feature extraction techniques
UR Acharya, SL Fernandes, JE WeiKoh… - Journal of medical …, 2019 - Springer
The aim of this work is to develop a Computer-Aided-Brain-Diagnosis (CABD) system that
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …
Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction
V Sundararaj - International Journal of Biomedical …, 2019 - inderscienceonline.com
Electrocardiogram (ECG) signal is significant to diagnose cardiac arrhythmia among various
biological signals. The accurate analysis of noisy electrocardiographic (ECG) signal is a …
biological signals. The accurate analysis of noisy electrocardiographic (ECG) signal is a …
Multifractal analysis of financial markets: A review
Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …