Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

In healthcare sector, it is of crucial importance to accurately diagnose Alzheimer's disease
(AD) and its prophase called mild cognitive impairment (MCI) so as to prevent degeneration …

Fault Tolerance (FT) is one of the cloud's very critical problems for providing security
assistance. Due to the diverse service architecture, detailed architectures & multiple …

One of the greatest advancements of the modern era is the evolution of smart grid (SG),
which integrates information communication technologies with advanced power electronic …

With the explosion of social media networks, many modern applications are concerning
about people's connections, which leads to the so-called social computing. An elusive …

Community detection is one of the hot topics in the complex networks. It aims to find
subgraphs that are internally dense but externally sparsely connected. In this paper, a new …

In this paper, the problem of non-fragile H∞ state estimation is investigated for a class of
discrete-time complex networks subject to randomly occurring sensor saturations (ROSSs) …

Link prediction is an important task in complex network analysis and can be found in many
real-world applications such as recommendation systems, information retrieval, and …

Besides the topological structure, there are additional information, ie, node attributes, on top
of the plain graphs. Usually, these systems can be well modeled by attributed graphs, where …

Ground-penetrating radar (GPR) has been widely used as a nondestructive tool for the
investigation of the subsurface, but it is challenging to automatically process the generated …