Browsing Civil and Environmental Engineering by Subject "Neural networks"
Now showing items 1-10 of 10
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
( Elsevier B.V. , 2018 , Article)Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ... -
A systematic review of machine learning classification methodologies for modelling passenger mode choice
( Elsevier , 2021 , Article Review)Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights ... -
Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks
( Academic Press , 2016 , Article)The study presented in this paper introduces a new intelligent methodology to mitigate the vibration response of flexible cantilever plates. The use of the piezoelectric sensor/actuator pairs for active control of plates ... -
Control of plate vibrations with artificial neural networks and piezoelectricity
( Springer New York LLC , 2020 , Conference Paper)This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ... -
Convolutional neural networks for real-time and wireless damage detection
( Springer New York LLC , 2020 , Conference Paper)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
( Academic Press , 2017 , Article)Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace engineers over the decades. Early and meticulous damage detection has ... -
Reveal the hidden layer via entity embedding in traffic prediction
( Elsevier B.V. , 2019 , Conference Paper)The neural network-based models have been widely used in traffic prediction. They have improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Many variables are considered to predict traffic ... -
Revealing the hidden features in traffic prediction via entity embedding
( Springer London , 2019 , Article)Models based on neural networks (NN) have been used widely and successfully in traffic prediction resulting in improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Input data include continuous ... -
Structural health monitoring with self-organizing maps and artificial neural networks
( Springer New York LLC , 2020 , Conference Paper)The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ... -
The influence of aeration scheme and aeration rate on the permeate flux for wastewater treatment using membrane bioreactors: Experimental and artificial neural network modeling
( Desalination Publications , 2021 , Article)In this paper, the effect of time, aeration scheme, aeration rate, and mixed liquor suspended solid (MLSS) concentration on the permeate flux in membrane bioreactors have been studied. Aeration rates of 0.5, 1.0, and 1.5 ...