Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …

Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices. However, big data processing is …

Every year man-made and natural disasters impact the lives of millions of people. The
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …

Recently, big data analytics has received important attention in a variety of application
domains including business, finance, space science, healthcare, telecommunication and …

The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …

Effective emergency and natural disaster management depend on the efficient mission-
critical voice and data communication between first responders and victims. Land mobile …

In recent years, major natural disasters and public safety accidents have frequently occurred
worldwide. In order to deal with various disasters and accidents using rapidly deployable …

Due to the unpredictability of natural disasters, whenever a catastrophe happens, it is vital
that not only emergency rescue teams are prepared, but also that there is a functional …

With the widespread use of IoT applications and the increasing trend in the number of
connected smart devices, the concept of routing has become very challenging. In this …