The demand for high-quality healthcare and well-being services is remarkably increasing due to the ageing global population and modern lifestyles. Recently, the integration of …
J Mills, J Hu, G Min - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The rapidly expanding number of Internet of Things (IoT) devices is generating huge quantities of data, but public concern over data privacy means users are apprehensive to …
Internet of Things (IoT) produces massive heterogeneous data from various applications, including digital health, smart hospitals, automated pathology labs, and so forth. IoT sensor …
L Sun, X Jiang, H Ren, Y Guo - IEEE access, 2020 - ieeexplore.ieee.org
With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and …
Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of network traffic data and memory space required is usually large. It is, therefore, almost …
E Kim, J Kim, J Park, H Ko… - Computers, Materials and …, 2023 - cdn.techscience.cn
Recently, the development of the Internet of Things (IoT) has enabled continuous and personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …
To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique, especially for large-scale model …
Health is wealth. Thus, it is very important to keep it healthy all the time for sustenance of human livelihood. Last decade has witnessed a number of digital developments, including …
The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the …