The data of impacts and damage caused by floods is necessary for manipulation to assist
and relieve those impacts in each area. The main issue for data acquisition was acquisition …

Disasters are considered a major problem worldwide and a significant threat to sustainable
development, causing, among others, the loss of lives, the destruction of infrastructure …

As natural disasters become more frequent and severe, ensuring a resilient communications
infrastructure is of paramount importance for effective disaster response and recovery. This …

Machine learning methods such as Adaptive Network‐Based Fuzzy Inference System
(ANFIS) have been widely employed in intelligent urban storm water disaster warning for the …

In recent years, computer science has advanced exponentially, helping significantly to
identify and classify text extracted from social networks, specifically Twitter. This work …

Fluvial floods are one of the most dangerous natural hazards, affecting billions of people
worldwide and causing significant social and economic damage. Flood risk assessment is …

The localization problem in ad hoc networks has drawn wide attention in recent years due to
the rapid advances in mobile computing and improvements of wireless communication …

Among public transportation available across the countries, the motion of buses is full of
uncertainties because of the traffic congestions, delays in the timetable, and other incidents …

Over the decade, Malaysia showed excellent improvement in upgrading social mobility as
the country moving to become a developing nation. The important factor of social mobility …

Identifying and classifying text extracted from social networks, following the traditional
method, is very complex. In recent years, computer science has advanced exponentially …