Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …

Nowadays, in various scientific domains, large data sets are becoming an important part of
shared resources. Such huge mass of data is usually stored in cloud data centers …

Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

With increase in the demand for Internet of Things (IoT)-based services, the capability to
detect anomalies such as malicious control, spying and other threats within IoT-based …

Social media analysis is a fast growing research area aimed at extracting useful information
from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …

Social media analysis is a fast growing research area aimed at extracting useful information
from social networks. Recent years have seen a great interest from academic and business …

Today's digital revolution is a worldwide phenomenon, with profound and often differential
implications for communities around the world and their relationships to one another. This …

Privacy in the Internet of Things is a fundamental challenge for the Ubiquitous healthcare
systems that depend on the data aggregated and collaborative deep learning among …

Almost all quality improvement methods require data collection and analysis to solve quality
problems. The combination of six sigma and lean manufacturing creates lean six sigma …