Journal ArticleDOI
A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining
Meisam Gordan,Hashim Abdul Razak,Zubaidah Ismail,Khaled Ghaedi,Zhi Xin Tan,Haider Hamad Ghayeb +5 more
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This study attempts to present a DM-based damage detection methodology using modal parameter data, which trained by means of a hybrid artificial neural network-based imperial competitive algorithm (ANN-ICA).About:
This article is published in Applied Soft Computing.The article was published on 2020-03-01. It has received 40 citations till now. The article focuses on the topics: Structural health monitoring & Evolutionary algorithm.read more
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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights:
TL;DR: An outlook on the future of monitoring systems in assessing civil infrastructure integrity is offered and a detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures.
Journal ArticleDOI
State-of-the-Art Review on Advancements of Data Mining in Structural Health Monitoring
Meisam Gordan,Saeed-Reza Sabbagh-Yazdi,Zubaidah Ismail,Kh. Ghaedi,Páraic Carroll,Daniel McCrum,Bijan Samali +6 more
TL;DR: In this article , a detailed review of data mining techniques for structural health monitoring (SHM) applications is presented, where a brief background, models, functions, and classification of DM techniques are presented.
Journal ArticleDOI
IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues
Marieh Talebkhah,Aduwati Sali,Mohsen Marjani,Meisam Gordan,Shaiful Jahari Hashim,Fakhrul Zaman Rokhani +5 more
TL;DR: In this paper, the concept of smart cities is briefly overviewed; then, their properties and specifications as well as generic architecture, compositions, and real-world implementations are addressed.
Journal ArticleDOI
Efficient method using Whale Optimization Algorithm for reliability-based design optimization of labyrinth spillway
TL;DR: In this paper, the authors proposed a novel framework for the probabilistic design of labyrinth spillway structures using a new developed reliability-based design optimization (RBDO) approach.
Journal ArticleDOI
Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model
TL;DR: The experimental results revealed that the fault diagnosis of rail fastener based on GAN and ResNet could improve the fault detection accuracy in the case of a serious shortage of fault data.
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Book
An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
Journal ArticleDOI
A summary review of vibration-based damage identification methods
TL;DR: In this paper, the authors provide an overview of methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response, including frequency, mode shape, and modal damping.
Proceedings ArticleDOI
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
TL;DR: Applying the proposed algorithm for optimization inspired by the imperialistic competition to some of benchmark cost functions shows its ability in dealing with different types of optimization problems.
Journal ArticleDOI
Vibration-based Damage Identification Methods: A Review and Comparative Study:
Wei Fan,Pizhong Qiao +1 more
TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
Book
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
TL;DR: Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.