State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
[HTML][HTML] A review on the progress and research directions of ocean engineering
This paper reviews research in ocean engineering over the last 50+ years with the aim to (I)
understand the technological challenges and evolution in the field,(II) investigate whether …
understand the technological challenges and evolution in the field,(II) investigate whether …
An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates
In this paper, two-stage approaches are proposed to study damage detection, localization
and quantification in Functionally Graded Material (FGM) plate structures. Metal and …
and quantification in Functionally Graded Material (FGM) plate structures. Metal and …
Bayesian retinex underwater image enhancement
This paper develops a Bayesian retinex algorithm for enhancing single underwater image
with multiorder gradient priors of reflectance and illumination. First, a simple yet effective …
with multiorder gradient priors of reflectance and illumination. First, a simple yet effective …
Development of a YOLO-V3-based model for detecting defects on steel strip surface
X Kou, S Liu, K Cheng, Y Qian - Measurement, 2021 - Elsevier
During steel strip production, mechanical forces and environmental factors cause surface
defects of the steel strip. Therefore, detection of such defects is key to the production of high …
defects of the steel strip. Therefore, detection of such defects is key to the production of high …
An integral quasi-3D computational model for the hygro-thermal wave propagation of imperfect FGM sandwich plates
This article investigates the wave propagation analysis of the imperfect functionally graded
(FG) sandwich plates based on a novel simple four-variable integral quasi-3D higher-order …
(FG) sandwich plates based on a novel simple four-variable integral quasi-3D higher-order …
The effect of three-variable viscoelastic foundation on the wave propagation in functionally graded sandwich plates via a simple quasi-3D HSDT
Earthquake Resistant Design Philosophy seeks (a) no damage,(b) no significant structural
damage, and (c) significant structural damage but no collapse of normal buildings, under …
damage, and (c) significant structural damage but no collapse of normal buildings, under …
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
This paper presents an effective method for crack identification to improve the training of
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures
In this paper, we propose an efficient Artificial Neural Network (ANN) based on the global
search capacity of evolutionary algorithms (EAs) to identify damages in laminated composite …
search capacity of evolutionary algorithms (EAs) to identify damages in laminated composite …
An efficient stochastic-based coupled model for damage identification in plate structures
Mode shape-based method has shown its dominance in failure identification of beams.
However, it is a challenge for fault detection in a plate structure. It requires combined …
However, it is a challenge for fault detection in a plate structure. It requires combined …