The belief function approach to uncertainty quantification as proposed in the Demspter-
Shafer theory of evidence is established upon the general mathematical models for set …

The k-nearest neighbor (kNN) rule is one of the most popular classification algorithms in
pattern recognition field because it is very simple to understand but works quite well in …

Multi-sensor data fusion technology based on Dempster–Shafer evidence theory is widely
applied in many fields. However, how to determine basic belief assignment (BBA) is still an …

Numerous fault detection and identification methods have been developed in recent years,
whereas, each method works under its own assumption, which means a method works well …

Information transmission in the marine scenario utilizing wireless communications is unique
method that empowering the technology for the evolution of imminent marine-surveillance …

As a result of noise and intensity non-uniformity, automatic segmentation of brain tissue in
magnetic resonance imaging (MRI) is a challenging task. In this study a novel brain MRI …

The problem of providing assistive services to elderly in smart cities is becoming important
due to the aging of population in the developed countries. The possibility of using personal …

Labeling samples on large data sets is a demanding task prone to different sources of
errors. Those errors, denoted as noise, can significantly impact the performance of a …

The performance of nearest-neighbor (NN) classifiers is known to be very sensitive to the
distance metric used in classifying a query pattern, especially in scarce-prototype cases. In …

Wireless sensor Network (WSN) is known to be vulnerable to variety of attacks due to the
construction of nodes and distributed network infrastructure. In order to ensure its …