The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …

In a companion paper, the writers reviewed significant work done on active and semi-active
vibration control of structures performed in the past decade or so. In this paper, journal …

The keys for the development of an effective classification algorithm are: 1) discovering
feature spaces with large margins between clusters and close proximity of the classmates …

In addition to materials, labor, equipment, and method, construction cost depends on many
other factors such as the project locality, type, construction duration, scheduling, and the …

In recent years the Probabilistic Neural Network (PPN) has been used in a large number of
applications due to its simplicity and efficiency. PNN assigns the test data to the class with …

As a result of progressive use of BIM in effective collaboration and sophisticated data
management, the amount of diverse project information is rapidly increased, thus its …

The digital management of engineering construction is one of the primary tasks of smart
construction sites. In the current practice of construction site information management, there …

Recording workers' activities is an important, but burdensome, management task for site
supervisors. The last decade has seen a growing trend toward vision‐based activity …

In this paper, a comprehensive community‐level model is developed advancing the use of
agent‐based modeling for the purpose of community resilience planning. Agents to simulate …

Change management in construction is an important aspect of project management, as
changes constitute a major cause of delay and disruption, and it is widely accepted by both …