Abstract Integrating Internet of Things (IoT) technologies in the healthcare industry
represents a transformative shift with tangible benefits. This paper provides a detailed …

Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …

The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …

The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st International Conference
on Computer-Aided Design (ICCAD) in 2022 is a challenging, multimonth, research and …

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the
model's capabilities by employing prior knowledge and experience. A meta-learning …

The Electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation has traditionally relied on cardiologists' expertise. Deep learning has …

Personalized health monitoring and prediction are indispensable in advancing healthcare
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …

Personalized health monitoring and prediction have become essential for improving health-
care delivery, especially with the growing prevalence of chronic diseases and an aging …

Nowadays, risk assessment has become the focus of many research efforts, which is the
result of environmental, health and/or war related situations. One of the most important …

Timely stress detection is crucial for protecting vulnerable groups from long-term detrimental
effects by enabling early intervention. Wearable devices, by collecting real-time …