Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …

This paper proposes a new deep learning method, the greedy deep weighted dictionary
learning for mobile multimedia for medical diseases analysis. Based on the traditional …

Artificial intelligence is becoming increasingly useful for doctors, nurses, radiologists,
researchers, pharmacists, emergency medical service, and many other healthcare …

With the wide application of computer technology, medical health data has also increased
dramatically, and data-driven medical big data analysis methods have emerged as the times …

The relationship between technology and healthcare society rises due to the intelligent
Internet of Things (IoT) with endless networking capabilities for medical data analysis. Deep …

Automated physiological signal monitoring to elderly sick patient is not only for fast access of
data but also to get reliable service by accurate prediction by healthcare service provider. To …

According to the survey on various health centres, smart log-based multi access physical
monitoring system determines the health conditions of humans and their associated …

COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so
on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous …

In ear of smart cities, intelligent medical image recognition technique has become a
promising way to solve remote patient diagnosis in IoMT. Although deep learning-based …

Remote health monitoring applications with the advent of Internet of Things (IoT)
technologies have changed traditional healthcare services. Additionally, in terms of …