Monitoring the security of audio biomedical signals communications in wearable IoT healthcare

Deep Learning and Vision Transformer for Medical Image Analysis

“…It involves the development of mathematical models and algorithms [10] that allow machines to iteratively process and analyze large datasets, learn from examples or experiences, and improve their performance over time. By leveraging ML theories and techniques [11], computers can discover complex patterns, extract meaningful insights, and generate reliable predictions, making ML a powerful tool for various applications in fields such as finance, smart healthcare [12], the Internet of Things [13], natural language processing (NLP) [14], recommendation systems, etc.…”

Parent supervision lightweight solution against version number attacks for IoT networks

“…Hence, IoT networks have allowed a huge transformation by creating self-automated environments where the aim is to facilitate the data exchanging between processes and exploiting internet features in terms of high-scale connectivity and data processing platforms for both edge and cloud computing [2][3][4]. Connected objects allow for realtime data collection and transmission, leading to increased efficiency and improved services in various fields such as smart cities [5], biomedical and healthcare [6][7], transportation [8], agriculture [9], industry [10][11][12], and various other domains in order to make them more efficient, smart and sustainable. On one hand, this has become possible through the emergence of small-sized smart devices named smart sensors intended to monitor a targeted environment and collect the related data [13][14][15][16].…”