Data clustering is a data mining technique that discovers hidden patterns by creating groups
(clusters) of objects. Each object in every cluster exhibits sufficient similarity to its …

This paper presents a hybrid approach for assessing the durability of self-compacting
concrete (SCC) in Algeria using Fuzzy-logic and Bayesian network (BN) methods. The …

In this research paper, Bayesian networks were used to predict slump flow and compressive
strength of self-compacting concrete (SCC) based on dune sand, which are essential values …

An efficient and accurate identification of damaged buildings after earthquakes is critical for
ensuring a quick response and efficient rescue operations. Considering the time pressure …

Assessment of seismic vulnerability of urban infrastructure is an actual problem, since the
damage caused by earthquakes is quite significant. Despite the complexity of such tasks …

The susceptibility of Indonesia to seismic activity as a result of intricate interactions between
tectonic plates highlights the imperative for a robust policy aimed at mitigating the impact of …

Earthquakes can inflict significant damage to structures and infrastructures. This paper
presents a machine learning model to predict ground surface deformation (GDS) induced by …

There are several efforts to mitigate earthquake disasters. One is to do regional planning
following earthquake hazard studies, such as using seismic hazard analysis. The hazard …

Актуальность работы. Благополучное процветание и динамичное развитие РК по
сегодняшний день, связано с качественной разработкой, системным внедрением и …