Online reviews about the purchase of products or services provided have become the main
source of users' opinions. In order to gain profit or fame, usually spam reviews are written to …

This is a systematic review of over one hundred research papers about machine learning
methods applied to defensive and offensive cybersecurity. In contrast to previous reviews …

Parameters for defining photovoltaic models using measured voltage–current​
characteristics are essential for simulation, control, and evaluation of photovoltaic-based …

Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …

Early detection of cancer increases the probability of recovery. This paper presents an
intelligent decision support system (IDSS) for the early diagnosis of cancer based on gene …

The evaluation of node importance is a critical research topic in network science, widely
applied in social networks, transport systems, and computer networks. Prior works …

Multiscale consensus has been studied recently as a new concept in the field of multi-agent
systems, which is able to accommodate many complicated coordination control tasks where …

Cascading failure on complex networks has been extensively studied over the past decade.
However, restoration of networks from cascading failure is still relatively unexplored. In this …

A multi-microgrid system, including several microgrids and distributed energy resources, is
always threatened by numbers of faults and attacks as a consequence of which …

Network-based intervention strategies can be effective and cost-efficient approaches to
curtailing harmful contagions in myriad settings. As studied, these strategies are often …