[HTML][HTML] An entropy-based architecture for detection of sepsis in newborn cry diagnostic systems

Z Khalilzad, Y Kheddache, C Tadj - Entropy, 2022 - mdpi.com
The acoustic characteristics of cries are an exhibition of an infant's health condition and
these characteristics have been acknowledged as indicators for various pathologies. This …

A novel audio watermarking scheme using ensemble-based watermark detector and discrete wavelet transform

SM Pourhashemi, M Mosleh, Y Erfani - Neural Computing and …, 2021 - Springer
Most existing extraction techniques in audio watermarking use conventional techniques in
which some sets of special rules based on reverse embedding rules are used for watermark …

[Retracted] Classification of Resting‐State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)

AMA Mohamed, ON Uçan, O Bayat… - Applied Bionics and …, 2020 - Wiley Online Library
An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also
a mediator between the external world and the brain, especially in the case of any mental …

Audio watermarking based on synergy between Lucas regular sequence and Fast Fourier Transform

SM Pourhashemi, M Mosleh, Y Erfani - Multimedia Tools and Applications, 2019 - Springer
The growth of digital technology over the recent years has led to increased sending and
saving of electronic media. Taking advantage of digital works without observing copyright is …

[HTML][HTML] An effective digital audio watermarking using a deep convolutional neural network with a search location optimization algorithm for improvement in robustness …

AJ Patil, R Shelke - High-Confidence Computing, 2023 - Elsevier
Watermarking is the advanced technology utilized to secure digital data by integrating
ownership or copyright protection. Most of the traditional extracting processes in audio …

An intelligent learning-based watermarking scheme for outsourced biomedical time series data

TP Duy, D Tran, W Ma - 2017 International Joint Conference on …, 2017 - ieeexplore.ieee.org
Sharing outsourced data between owners and data mining experts is becoming a
challenging issue in biomedical and healthcare fields. Watermarking has been proved as a …

Audio Steganalysis based on collaboration of fractal dimensions and convolutional neural networks

V Mohtasham-Zadeh, M Mosleh - Multimedia Tools and Applications, 2019 - Springer
Steganography is the art of concealing a message within a cover media with the least
understandable changes. On the other hand, steganalysis algorithms try to distinguish …

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

TD Pham, D Tran, W Ma - Australasian Journal of Information …, 2017 - journal.acs.org.au
In the biomedical and healthcare fields, the ownership protection of the outsourced data is
becoming a challenging issue in sharing the data between data owners and data mining …

A proposed pattern recognition framework for EEG-based smart blind watermarking system

TP Duy, D Tran, W Ma - 2016 23rd International Conference on …, 2016 - ieeexplore.ieee.org
Copyright protection for multimedia data owners is of crucial importance as the duplication of
multimedia data has become easily with the advent of Internet and digital multimedia …

Using acoustic features and features fusion in infant cry diagnostic system

Z Khalilzad - 2023 - espace.etsmtl.ca
Newborns communicate their needs and discomforts through crying. Throughout the years,
researchers discovered that the cry emanates opulent information about the newborn's …