A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

Enabling all in-edge deep learning: A literature review

P Joshi, M Hasanuzzaman, C Thapa, H Afli… - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …

[Retracted] Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R‐CNN with MobileNet V1

KD Kadam, S Ahirrao, K Kotecha - Computational Intelligence …, 2022 - Wiley Online Library
With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

An artificial-intelligence-based novel rice grade model for severity estimation of rice diseases

RR Patil, S Kumar, S Chiwhane, R Rani, SK Pippal - Agriculture, 2022 - mdpi.com
The pathogens such as fungi and bacteria can lead to rice diseases that can drastically
impair crop production. Because the illness is difficult to control on a broad scale, crop field …

Enhancing digital image forgery detection using transfer learning

AH Khalil, AZ Ghalwash, HAG Elsayed… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, digital images are a main source of shared information in social media.
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …

[HTML][HTML] Towards effective and efficient online exam systems using deep learning-based cheating detection approach

S Kaddoura, A Gumaei - Intelligent Systems with Applications, 2022 - Elsevier
With the high growth of digitization and globalization, online exam systems continue to gain
popularity and stretch, especially in the case of spreading infections like a pandemic …

Cone-shaped space target inertia characteristics identification by deep learning with compressed dataset

S Wang, M Li, T Yang, X Ai, J Liu… - … on Antennas and …, 2022 - ieeexplore.ieee.org
An effective method for identifying inertia characteristics of cone-shaped space target based
on deep learning is proposed. The inertia ratio is determined by the time-varying scattering …

A new method to detect splicing image forgery using convolutional neural network

KM Hosny, AM Mortda, NA Lashin, MM Fouda - Applied Sciences, 2023 - mdpi.com
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …

Facial expression recognition using multi-branch attention convolutional neural network

Y He - Ieee Access, 2022 - ieeexplore.ieee.org
Facial expression recognition technology was extensively used. This paper develops a multi-
branch attention convolutional neural network based on a multiple-branch structure to …

Visualizing the truth: A survey of multimedia forensic analysis

A Diwan, U Sonkar - Multimedia Tools and Applications, 2024 - Springer
Multimedia forensics is an essential field of research that deals with the authenticity and
integrity of multimedia content in the digital world. With the increasing use of digital platforms …