The increasing number of affected people due to disasters, the complexity and
unpredictability of these phenomena and the different problems encountered in the planning …

This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

Artificial intelligence (AI) methods have seen increasingly widespread use in everything from
consumer products and driverless cars to fraud detection and weather forecasting. The use …

The recent advances in communication and mobile technologies made it easier to access
and share information for most people worldwide. Among the most powerful information …

This paper algorithms based on neural network model designed for English education, to
develop a model education system with artificial intelligence, summarized the dimensions …

After a disaster, ascertaining the operational state of extensive infrastructures and building
clusters on a regional scale is critical for rapid decision-making and initial response. In this …

Reinforcement and evolutionary algorithms have been applied with a variety of features and
parameters to predict the earthquake in the past. Normal artificial intelligence practices have …

One of the most challenging issues in earthquake engineering is structural damage
determination, monitoring and resistance in earthquake conditions. In this regard, the need …

Abstract This study utilizes Artificial Neural Network (ANN) to predict structural responses of
multi-storey reinforced concrete building based on ground acceleration. The strong ground …

The environment of an intelligent building includes systems and sensors with significant
heterogeneity. With the growth of heterogeneous devices and sensor technologies in …