Health care monitoring of the children is needed to prevent the children from any diseases
during the child's growth. The mental and physical conditions monitoring of children at the …

In today's world, the number and variety of objects that are connected to the Internet of
Things (IoT) infrastructure is increasing exponentially. Consequently, data produced by …

Federated learning (FL) in Internet of Things (IoT) applications facilitates the collaborative
training of a global model across distributed devices with a server. Despite its potential, the …

In recent years, the advancements in the Internet of Medical Things (IoMT) or smart devices
have enabled the automatic monitoring of human health. Using smart healthcare devices …

IoT plays a significant role in the growth of clinical data for identifying hazardous diseases
and building drugs for patient diagnosis and medical care. Blockchain and federated …

The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless
interaction of devices, individuals, and services, enabling data exchange and task execution …

In the realm of the Internet of Things (IoT), deploying deep learning models to process data
generated or collected by IoT devices is a critical challenge. However, direct data …

The recent viral outbreaks have had a significant impact on interpersonal relationships,
particularly in enclosed spaces. Detecting and preventing the transmission of diseases such …

Cardiovascular disease supposes a substantial fraction of healthcare systems. The invisible
nature of these pathologies demands solutions that enable remote monitoring and tracking …

Machine learning is a powerful technology for extracting information from data of diverse
nature and origin. As its deployment increasingly depends on data from multiple entities …