Modelling and simulation (M&S) is one of the fundamental methods of performance analysis.
In other words, how well a modeller builds a model is a key point of a successful …

In services-oriented computing networks, packets in the process of routing to a data center
must wait for a sufficient amount of data before service aggregation to reduce the network …

Big Data for Qualitative Research covers everything small data researchers need to know
about big data, from the potentials of big data analytics to its methodological and ethical …

In recent years, the radical advancement of technologies has given rise to an abundance of
software applications, social media, and smart devices such as smartphone, sensors, and so …

Internet and World Wide Web platforms, big data analytics, software, social media and civic
technologies allow for the creation of smart ecosystems in which connected intelligence …

Among the many hacking attempts carried out against information systems for the past few
years, cyber-attacks that could lead to a national-level threat included attacks against …

Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

In recent years, engineered nanostructure assemblies such as nanowire arrays have
attracted much research attention due to their unique chemical and functional characteristics …

The DBSCAN algorithm is a prevalent method of density-based clustering algorithms, the
most important feature of which is the ability to detect arbitrary shapes and varied clusters …

Proactive Maintenance practices are becoming more standard in industrial environments,
with a direct and profound impact on the competitivity within the sector. These practices …