Abstract Machine Learning (ML) applications are making a considerable impact on healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
The data that medical sensors collect can be overwhelming, making it challenging to glean the most relevant insights. An algorithm for a body sensor network is needed for the purpose …
Q Niu, H Li, Y Liu, Z Qin, L Zhang, J Chen… - Mathematical …, 2024 - diva-portal.org
In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and …
Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication …
An innovative approach for continuous health monitoring in medical applications is presented in this research. The proposed system is composed of Raspberry Pi, cloud …
Automating industrial tasks have become critical for organizations due to the inefficiencies and risks associated with conventional procedures. The proliferation of connected devices …
The IoT revolution reshapes contemporary healthcare systems by incorporate economic, social, and technological prospects. It is progressing from conventional healthcare systems …
According to the World Health Organization, heart disease is the biggest cause of death worldwide. It may be possible to bring down the overall death rate of individuals if …
M Izhar, SAA Naqvi, A Ahmed, S Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents an innovative framework that leverages cutting-edge technologies to revolutionize healthcare systems, focusing on data security, privacy, and efficient medical …