In the last few years, advanced software for processing medical images has gained a great
interest in modern medicine. In fact, it provides valuable clinical information, and hence, can …

Hadoop Distributed File System, Talend, MapReduce (MR), YARN and Cloudera model
have gotten to be prevalent advancements for expansive scale information association and …

Nowadays detection of satellite images is generally difficult due to massive volume of
images in Big Data era, so high processing speed has become an indispensable …

Big data refers to the accumulation of sundry kinds of data in a plethora. In healthcare
science, it refers to some radiologistic medical images datasets. This paper converses about …

Traditionally, enterprise application integration (EAI) processes structured data. Recent
trends such as social and multimedia computing led to an increase in unstructured …

Due to the limitations of a physical memory, it is quite difficult to analyze and process big
datasets. The Hadoop MapReduce algorithm has been widely used to process and mine …

In the healthcare field, medical image processing through cloud computing is a promising
technology. In fact, it allows healthcare professionals to process and analyze medical …

Mobile peer-to-peer networks combining a mobile ad hoc network underlay with a peer-to-
peer overlay offer a flexible means for providing communication services in absence of a …

A methodology based on supply voltage scaling for lowering the power consumption and
temperature fluctuations induced skew of clock distribution networks is proposed in this …

3D printing or additive manufacturing is a process of making three dimensional solid objects
from a digital file. It is needed conversion process from 3D model data to G-code to print by …