[HTML][HTML] Real-time deepfake video detection using eye movement analysis with a hybrid deep learning approach

M Javed, Z Zhang, FH Dahri, AA Laghari - Electronics, 2024 - mdpi.com
Deepfake technology uses artificial intelligence to create realistic but false audio, images,
and videos. Deepfake technology poses a significant threat to the authenticity of visual …

Eye diseases detection using deep learning with BAM attention module

A Zia, R Mahum, N Ahmad, M Awais… - Multimedia Tools and …, 2024 - Springer
With the changing lifestyle, a large population suffers from eye diseases such as glaucoma,
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …

Fake speech detection using VGGish with attention block

T Kanwal, R Mahum, AM AlSalman, M Sharaf… - EURASIP Journal on …, 2024 - Springer
While deep learning technologies have made remarkable progress in generating
deepfakes, their misuse has become a well-known concern. As a result, the ubiquitous …

[HTML][HTML] Biometric-Based Key Generation and User Authentication Using Voice Password Images and Neural Fuzzy Extractor

A Sulavko, I Panfilova, D Inivatov, P Lozhnikov… - Applied System …, 2025 - mdpi.com
This work is devoted to the development of a biometric authentication system and the
generation of a cryptographic key or a long password of 1024 bits based on a voice …

UTran-DSR: a novel transformer-based model using feature enhancement for dysarthric speech recognition

U Irshad, R Mahum, I Ganiyu, FS Butt, L Hidri… - EURASIP Journal on …, 2024 - Springer
Over the past decade, the prevalence of neurological diseases has significantly risen due to
population growth and aging. Individuals suffering from spastic paralysis, brain attack, and …

COVID-19 Detection Systems Based on Speech and Image Data Using Deep Learning Algorithms

F Akhtar, R Mahum, AE Ragab, FS Butt… - International Journal of …, 2024 - Springer
COVID-19 is a worldwide epidemic that seriously affected the lives of people. Since its
inception, physicians have tried their best to trace the virus and reduce its spread. Several …

[HTML][HTML] Leveraging deep edge intelligence for real-time respiratory disease detection

TT Oishee, J Anjom, U Mohammed, MIA Hossain - Clinical eHealth, 2024 - Elsevier
Detecting respiratory diseases such as COPD, bronchiolitis, URTI, and pneumonia is crucial
for early medical intervention. This study utilizes the ICBHI dataset to train and evaluate …

Real-Time Neural Network Translation in Human-Animal Communication

G Princess - 2024 8th International Conference on I-SMAC …, 2024 - ieeexplore.ieee.org
The study of animal communication helps to enable a complex relationship between
species. While deciphering these unique languages has historically been challenging …

[PDF][PDF] Use Of Audio Transfer Learning To Analyse Heart Sounds For Detecting Heart Diseases

S Swaminathan, S Murthy, C Gudada, SK Mallappa - researchgate.net
Cardiovascular disease (CVDs) is a major cause of mortality worldwide. Timely identification
of CVD is essential to reduce the fatalities associated with this condition. The integration of …