Efficient deepfake detection via layer-frozen assisted dual attention network for consumer imaging devices
The advancement of open-source frameworks and user-friendly manipulation applications
has accelerated the spread of deep fakes. In this study, we proposed optimal features …
has accelerated the spread of deep fakes. In this study, we proposed optimal features …
[HTML][HTML] CardioGuard: AI-driven ECG authentication hybrid neural network for predictive health monitoring in telehealth systems
The increasing integration of telehealth systems underscores the importance of robust and
secure methods for patient data management. Traditional authentication methods, such as …
secure methods for patient data management. Traditional authentication methods, such as …
Attention enhanced machine instinctive vision with human-inspired saliency detection
Salient object detection (SOD) enables machines to recognize and accurately segment
visually prominent regions in images. Despite recent advancements, existing approaches …
visually prominent regions in images. Despite recent advancements, existing approaches …
Comprehensive evaluation of artificial intelligence applications in forensic odontology: a systematic review and meta-analysis
This systematic review and meta-analysis examine the transformative impact of artificial
intelligence (AI) applications on forensic odontology, specifically focusing on the …
intelligence (AI) applications on forensic odontology, specifically focusing on the …
An efficient multi-threshold image segmentation method for COVID-19 images using reinforcement learning-based enhanced sand cat algorithm
K Hu, Y Mo - The Journal of Supercomputing, 2025 - Springer
Abstract Since late 2019, coronavirus disease 2019 (COVID-19) has been spreading
globally, presenting a significant threat to human lives and health, and exerting a profound …
globally, presenting a significant threat to human lives and health, and exerting a profound …
OCTNet: A Modified Multi-Scale Attention Feature Fusion Network with InceptionV3 for Retinal OCT Image Classification
I Khalil, A Mehmood, H Kim, J Kim - Mathematics, 2024 - search.proquest.com
Classification and identification of eye diseases using Optical Coherence Tomography
(OCT) has been a challenging task and a trending research area in recent years. Accurate …
(OCT) has been a challenging task and a trending research area in recent years. Accurate …
A deep dive into cybersecurity solutions for AI-driven IoT-enabled smart cities in advanced communication networks
The integration of the Internet of Things (IoT) and artificial intelligence (AI) in urban
infrastructure, powered by advanced information communication technologies (ICT), has …
infrastructure, powered by advanced information communication technologies (ICT), has …
Multiscale attention-over-attention network for retinal disease recognition in OCT radiology images
Retinal disease recognition using Optical Coherence Tomography (OCT) images plays a
pivotal role in the early diagnosis and treatment of conditions. However, the previous …
pivotal role in the early diagnosis and treatment of conditions. However, the previous …
[HTML][HTML] High-Precision Skin Disease Diagnosis through Deep Learning on Dermoscopic Images
Dermatological conditions are primarily prevalent in humans and are primarily caused by
environmental and climatic fluctuations, as well as various other reasons. Timely …
environmental and climatic fluctuations, as well as various other reasons. Timely …
Fast and High-Precision Human Fall Detection Using Improved YOLOv8 Model
Human falls refer to a sudden, accidental, unintentional, involuntary, and traumatizing action
of a person losing stability and ending up lying down (often on the ground). These incidents …
of a person losing stability and ending up lying down (often on the ground). These incidents …