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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 …
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …
An evaluation of transfer learning models in EEG-based authentication
Electroencephalogram (EEG)-based authentication has received increasing attention from
researchers as they believe it could serve as an alternative to more conventional personal …
researchers as they believe it could serve as an alternative to more conventional personal …
[HTML][HTML] A deep learning framework with an intermediate layer using the swarm intelligence optimizer for diagnosing oral squamous cell carcinoma
B Nagarajan, S Chakravarthy, VK Venkatesan… - Diagnostics, 2023 - mdpi.com
One of the most prevalent cancers is oral squamous cell carcinoma, and preventing mortality
from this disease primarily depends on early detection. Clinicians will greatly benefit from …
from this disease primarily depends on early detection. Clinicians will greatly benefit from …
[HTML][HTML] Investigating Effective Geometric Transformation for Image Augmentation to Improve Static Hand Gestures with a Pre-Trained Convolutional Neural Network
BA Awaluddin, CT Chao, JS Chiou - Mathematics, 2023 - mdpi.com
Hand gesture recognition (HGR) is a challenging and fascinating research topic in computer
vision with numerous daily life applications. In HGR, computers aim to identify and classify …
vision with numerous daily life applications. In HGR, computers aim to identify and classify …
Review for optimal human-gesture design methodology and motion representation of medical images using segmentation from depth data and gesture recognition
A Gupta, S Kumar, S Kumar - Current Medical Imaging, 2024 - benthamdirect.com
Human gesture recognition and motion representation have become a vital base of current
intelligent human-machine interfaces because of ubiquitous and more comfortable …
intelligent human-machine interfaces because of ubiquitous and more comfortable …
Unsupervised sensor-based continuous authentication with low-rank transformer using learning-to-rank algorithms
With the rapid development of the Internet of Things (IoTs) and mobile communications,
mobile devices have become indispensable in our daily lives. Given the substantial amount …
mobile devices have become indispensable in our daily lives. Given the substantial amount …
Computer vision-based signature forgery detection system using deep learning: a supervised learning approach
RC Reyes, MJ Polinar, RM Dasalla… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Authentication is a crucial aspect of data security. It is one of the most important issues of our
time. As technology advances, our interactions with machines are becoming increasingly …
time. As technology advances, our interactions with machines are becoming increasingly …
In-air signature verification system based on beta-elliptical approach and fuzzy perceptual detector
Believing that biometrics trends are moving to distant and contactless mode, in-air signature
verification is nowadays considered as one of the principal users biometric identification in …
verification is nowadays considered as one of the principal users biometric identification in …
In-air hand gesture signature recognition: An iHGS database acquisition protocol
WH Khoh, YH Pang, HY Yap - F1000Research, 2023 - pmc.ncbi.nlm.nih.gov
Background: With the advances in current technology, hand gesture recognition has gained
considerable attention. It has been extended to recognize more distinctive movements, such …
considerable attention. It has been extended to recognize more distinctive movements, such …
Hand gesture signature recognition with machine learning algorithms
AIA binti Azlin, PY Han, KW How, OS Yin - International Conference on …, 2022 - Springer
Hand gesture recognition is regarded as an imperative Human–Computer Interaction
technology for non-verbal communication and interaction between human and computers …
technology for non-verbal communication and interaction between human and computers …