Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

This paper and a companion paper present a state-of-the-art review of significant research
performed in the area of smart structures. The focus of the review is journal articles …

The CrackNet, an efficient architecture based on the Convolutional Neural Network (CNN),
is proposed in this article for automated pavement crack detection on 3D asphalt surfaces …

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 …

Several variants of spiking neural P systems (SNPS) have been presented in the literature to
perform arithmetic operations. However, each of these variants was designed only for one …

The performance of a monitoring system for civil buildings and infrastructures or mechanical
systems depends mainly on the position of the deployed sensors. At the current state, this …

In this paper we propose the use of the genetic algorithm (GA) as a tool to solve
multiobjective optimization problems in structures. Using the concept of min–max optimum, a …

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 …

This article proposes to solve the oversaturated network traffic signal coordination problem
using the Ant Colony Optimization (ACO) algorithm. The traffic networks used are discrete …

While the weight of a structure constitutes a significant part of the cost, a minimum weight
design is not necessarily the minimum cost design. Little attention in structural optimization …