Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

With the emerging technologies and all associated devices, it is predicted that massive
amount of data will be created in the next few years–in fact, as much as 90% of current data …

The Cypher property graph query language is an evolving language, originally designed
and implemented as part of the Neo4j graph database, and it is currently used by several …

To improve the efficiency of big data feature learning, the paper proposes a privacy
preserving deep computation model by offloading the expensive operations to the cloud …

''Knowledge is power” is an old adage that has been found to be true in today's information
age. Knowledge is derived from having access to information. The ability to gather …

In recent years there exists a wide variety of cyber attacks with the drastic development of
the internet technology. Detection of these attacks is of more significant in today's cyber …

Big Data is, clearly, an integral part of modern information societies. A vast amount of data is
daily produced and it is estimated that, for the years to come, this number will grow …

For many decades, progress in computing hardware has been closely associated with
CMOS logic density, performance, and cost. As such, slowdown in 2-D scaling, frequency …

With high computation power and memory bandwidth, graphics processing units (GPUs)
lend themselves to accelerate data-intensive analytics, especially when such applications fit …

This paper proposes a parallel FPGA implementation of the training phase of a Support
Vector Machine (SVM). The training phase of the SVM is implemented using Sequential …