Abstract Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each […]
An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection Read More »
Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this
Abstract: This study proposes an artificial intelligence of things (AIoT) system for electrocardiogram (ECG) analysis and cardiac disease detection. The system includes a front-end IoT-based hardware, a user interface on
Artificial Intelligence of Things Wearable System for Cardiac Disease Detection Read More »
