Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures
A Gomez-Cabrera, PJ Escamilla-Ambrosio - Applied Sciences, 2022 - mdpi.com
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …
structural health monitoring systems and their success in determining the level of damage in …
The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate.
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification
F Al Thobiani, S Khatir, B Benaissa… - Theoretical and applied …, 2022 - Elsevier
This paper introduces an inverse problem for crack identification in two-dimensional
structures using eXtend Finite Element Method (XFEM) associated with original Grey Wolf …
structures using eXtend Finite Element Method (XFEM) associated with original Grey Wolf …
Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Structural damage identification plays a crucial role in structural health monitoring. In this
study, a novelty method for structural damage identification is developed, which employs an …
study, a novelty method for structural damage identification is developed, which employs an …
RTSMFFDE-HKRR: a fault diagnosis method for train bearing in noise environment
The bearings have been exposed to a noisy environment for an extended period, making it
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …
Algorithms and techniques for the structural health monitoring of bridges: Systematic literature review
Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …
such as bridges, using data from various types of sensors. While SHM systems consist of …
A variable velocity strategy particle swarm optimization algorithm (VVS-PSO) for damage assessment in structures
In this paper, for the first time, a variable velocity strategy particle swarm optimization (VVS-
PSO) is presented to solve the optimization problems ranging from numerical functions to …
PSO) is presented to solve the optimization problems ranging from numerical functions to …
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural …
In this paper, a new method has been proposed to optimize the hyper parameters in Deep
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
[HTML][HTML] A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures
Vibration-based damage detection tools are frequently employed because of their
advantages over other non-destructive techniques. This paper presents an improved …
advantages over other non-destructive techniques. This paper presents an improved …