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[HTML][HTML] Real-time deepfake video detection using eye movement analysis with a hybrid deep learning approach
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 …
and videos. Deepfake technology poses a significant threat to the authenticity of visual …
Eye diseases detection using deep learning with BAM attention module
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 …
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …
Fake speech detection using VGGish with attention block
While deep learning technologies have made remarkable progress in generating
deepfakes, their misuse has become a well-known concern. As a result, the ubiquitous …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
of CVD is essential to reduce the fatalities associated with this condition. The integration of …