Mobile devices, along with wearable sensors, allow patients to access healthcare services
from anywhere at any time. The longstanding constraints of computational capability and …

Multi-sensor information fusion plays an important role in practical application. Although DS
evidence theory can handle this information fusion task regardless of prior knowledge …

There is a tremendous amount of attention being focused on improving human health these
days. The World Health Organization (WHO) statistics show that disease and mortality rate …

Stroke is a common neurological condition which is becoming increasingly common as the
population ages. This entails healthcare monitoring systems suitable for home use, with …

Space situational awareness (SSA) and defense space control capabilities are top priorities
for groups that own or operate man-made spacecraft. Also, with the growing amount of …

Multi-parameter patient monitor (MPM) measures multiple physiological parameters of a
patient to generate alarms when the patient's condition is deteriorating. Present monitors …

This chapter provides a comprehensive review of contemporary data fusion methodologies,
and overviews the most recent developments and emerging trends in this field. It discusses …

Stroke is a common neurological condition which is becoming increasingly common as the
population ages. This entails healthcare monitoring systems suitable for home use, with …

Text mining (TM) is basically the Data mining on information. TM is a procedure of
separating possibly helpful data from crude Data, to enhance the nature of the data benefit …

All living organisms have the ability to gain information about their environment, as well as to
interpret this information to take appropriate decisions. Building a complete picture of the …