Adaptive optimization methods for deep learning adjust the inference task to the current
circumstances at runtime to improve the resource footprint while maintaining the model's …

This work presents AttFL, a federated learning framework designed to continuously improve
a personalized deep neural network for efficiently analyzing time-series data generated from …

In light of the increasing adoption of edge computing in areas such as intelligent furniture,
robotics, and smart homes, this paper introduces HyperSNN, an innovative method for …

Heart disease is one of the leading causes of death worldwide. Given its high risk and often
asymptomatic nature, real-time continuous monitoring is essential. Unlike traditional artificial …

With the advancement of technology and the prevalence of Internet of Things (IoT), wearable
devices have been gaining huge momentum as consumer devices over the past few years …

In this research paper we propose a novel technique is to predict the Confidence Score of
Myocardial Infarction from multilead electrocardiogram (ECG) signals. Classifying the …

Wearable devices refer to electronic devices that can be worn on the body, aiming to provide
users with more information and internet services. This study proposed a wearable device …