Abstract: The detection of infrared small objects from unmanned aerial vehicles (UAVs) is critical for a wide range of Internet of Things (IoT) applications, including reconnaissance, surveillance, ...
Abstract: Deep learning models have demonstrated remarkable performance in anomaly detection tasks, particularly when large datasets with sufficient anomalous samples are available. However, in ...
Abstract: The rapid advancement of generative AI has enabled the creation of highly realistic forged facial images, posing significant threats to AI security, digital media integrity, and public trust ...
Abstract: The research is devoted to the development of an automated face recognition system based on a convolutional neural network (CNN). The proposed system uses modern methods of image ...
Abstract: The exponential growth of modern industrial production systems, coupled with escalating quality requirements in manufacturing sectors, has stimulated substantial research interest in ...
Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...
Abstract: Alzheimer’s disease (AD) is a slowly advancing neurodegenerative condition which mostly affects brain neuron’s ability to remember and think. This condition causes significant challenges in ...