A survey of recent advances in image steganography
Over the course of technological development, data security while transmission and storing
has always been a field of continuous advancements and key importance. In the recent …
has always been a field of continuous advancements and key importance. In the recent …
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder
A Jahanbakhshi, Y Abbaspour-Gilandeh… - Computers in Biology …, 2021 - Elsevier
Assessing the quality of food and spices is particularly important in ensuring proper human
nutrition. The use of computer vision method as a non-destructive technique in measuring …
nutrition. The use of computer vision method as a non-destructive technique in measuring …
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
A Jahanbakhshi, Y Abbaspour-Gilandeh… - Computers in biology …, 2021 - Elsevier
Ginger is a well-known product in the food and pharmaceutical industries. Ginger is one of
the spices which are adulterated for economic gain. The lack of marketability of grade 3 …
the spices which are adulterated for economic gain. The lack of marketability of grade 3 …
Detection of image steganography using deep learning and ensemble classifiers
M Płachta, M Krzemień, K Szczypiorski, A Janicki - Electronics, 2022 - mdpi.com
In this article, the problem of detecting JPEG images, which have been steganographically
manipulated, is discussed. The performance of employing various shallow and deep …
manipulated, is discussed. The performance of employing various shallow and deep …
A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique
ME Elaraby, AA Ewees, AM Anter - Biomedical Signal Processing and …, 2024 - Elsevier
Due to the rapid spread of COVID-19, an urgent need arose for a quick and accurate
diagnosis approach. The well-known RT-PCR test is often unavailable and too costly for …
diagnosis approach. The well-known RT-PCR test is often unavailable and too costly for …
Integrating machine learning and features extraction for practical reliable color images steganalysis classification
Steganalysis is a known practice to detect hidden secrecy within covered e-media.
Researches claimed obscured detection attainability via features extraction, as for …
Researches claimed obscured detection attainability via features extraction, as for …
Digital image steganalysis: current methodologies and future challenges
WM Eid, SS Alotaibi, HM Alqahtani, SQ Saleh - Ieee Access, 2022 - ieeexplore.ieee.org
With the growing use of the internet and social media, data security has become a major
issue. Thus, researchers are focusing on data security techniques such as steganography …
issue. Thus, researchers are focusing on data security techniques such as steganography …
Is blind image steganalysis practical using feature-based classification?
Steganalysis is a known practice created to detect hidden data within covered items such as
images or texts. Many researches claimed that features extraction is among the suitable …
images or texts. Many researches claimed that features extraction is among the suitable …
Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model
Lung cancer arises from the abnormal and uncontrolled reproduction of parenchymal cells.
Among all cancer cases, lung cancer is one of the prevailing types. Prevalence and death …
Among all cancer cases, lung cancer is one of the prevailing types. Prevalence and death …
Random embedded calibrated statistical blind steganalysis using cross validated support vector machine and support vector machine with particle swarm optimization
DD Shankar, AS Azhakath - Scientific Reports, 2023 - nature.com
The evolvement in digital media and information technology over the past decades have
purveyed the internet to be an effectual medium for the exchange of data and …
purveyed the internet to be an effectual medium for the exchange of data and …