Prognostics and health management (PHM) is a framework that offers comprehensive yet
individualized solutions for managing system health. In recent years, PHM has emerged as …

Most heart diseases are associated with and reflected by the sounds that the heart
produces. Heart auscultation, defined as listening to the heart sound, has been a very …

Low-cost, miniaturized hyperspectral imaging technology is becoming available for small
unmanned aerial vehicle (UAV) platforms. This technology can be efficient in carrying out …

Defect prediction models help software quality assurance teams to effectively allocate their
limited resources to the most defect-prone software modules. A variety of classification …

Class imbalance problem is quite pervasive in our nowadays human practice. This problem
basically refers to the skewness in the data underlying distribution which, in turn, imposes …

We present a fully automatic algorithm to identify fluid-filled regions and seven retinal layers
on spectral domain optical coherence tomography images of eyes with diabetic macular …

In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

One of the core objectives of machine learning is to instruct computers to use data or past
experience to solve a given problem. A good number of successful applications of machine …

This paper covers the two approaches for sentiment analysis: i) lexicon based method; ii)
machine learning method. We describe several techniques to implement these approaches …

Recently, mobile networking systems have been designed with more complexity of
infrastructure and higher diversity of associated devices and resources, as well as more …