Abstract Machine learning (ML) is continuously unleashing its power in a wide range of
applications. It has been pushed to the forefront in recent years partly owing to the advent of …

Big data has fundamentally changed the way organizations manage, analyze and leverage
data in any industry. One of the most promising fields where big data can be applied to make …

As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

Big data is a term used for very large data sets that have more varied and complex structure.
These characteristics usually correlate with additional difficulties in storing, analyzing and …

Deep learning in a collaborative setting is emerging as a corner-stone of many upcoming
applications, wherein untrusted users collaborate to generate more accurate models. From …

An apparatus in one embodiment comprises at least one processing device having a
processor coupled to a memory. The one or more processing devices are operative to …

Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

The widespread impacts of artificial intelligence (AI) and machine learning (ML) in many
segments of society have not yet been felt strongly in the marketing field. Despite such …

The development of big data technologies, which have been applied extensively in various
areas, has become one of the key factors affecting modern society, especially in the virtual …

Machine learning (ML) techniques are expected to be used for specific applications in
Vehicular Social Networks (VSNs). Support vector machine (SVM) is one of the typical ML …