A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
Coupling dynamic behaviors of axially moving cracked cantilevered beam subjected to transverse harmonic load
Considering the existence of the opening crack, the axially motion as well as the transverse
harmonic excitation, the dynamic response of the beam is studied by a structure-preserving …
harmonic excitation, the dynamic response of the beam is studied by a structure-preserving …
Enhanced ANN predictive model for composite pipes subjected to low-velocity impact loads
This paper presents an enhanced artificial neural network (ANN) to predict the displacement
in composite pipes impacted by a drop weight having different velocities. The impact …
in composite pipes impacted by a drop weight having different velocities. The impact …
Structural health monitoring of beam model based on swarm intelligence-based algorithms and neural networks employing FRF
In recent decades, swarm optimization methods have been employed to address various
optimization problems in structural health monitoring (SHM). One of the widely recognized …
optimization problems in structural health monitoring (SHM). One of the widely recognized …
Artificial neural network and YUKI algorithm for notch depth prediction in X70 steel specimens
The presence of notches directly influences the material's degree of resistance to fracture, as
each notch is defined by its size and location in the structure. In this study, we present a …
each notch is defined by its size and location in the structure. In this study, we present a …
An efficient improved Gradient Boosting for strain prediction in Near-Surface Mounted fiber-reinforced polymer strengthened reinforced concrete beam
Abstract The Near-Surface Mounted (NSM) strengthening technique has emerged as a
promising alternative to traditional strengthening methods in recent years. Over the past two …
promising alternative to traditional strengthening methods in recent years. Over the past two …
Novel approach-based sparsity for damage localization in functionally graded material
Model-based approaches have been widely employed in damage detection and localization
studies. However, alternative techniques, such as built-in online detection methods, hold …
studies. However, alternative techniques, such as built-in online detection methods, hold …
Advancing structural integrity prediction with optimized neural network and vibration analysis
Detecting and locating damage is a crucial endeavor within the field of structural integrity.
While Artificial Neural Networks (ANNs) have shown promise in this regard, they have …
While Artificial Neural Networks (ANNs) have shown promise in this regard, they have …
[HTML][HTML] Optimizing silt density index prediction in water treatment systems using pressure-based gradient boosting hybridized with Salp Swarm Algorithm
B Ouadi, A Khatir, E Magagnini, M Mokadem… - Journal of Water …, 2024 - Elsevier
This study introduces a novel approach for predicting Silt Density Index (SDI) values in
desalination systems by combining Gradient Boosting with the Salp Swarm Algorithm …
desalination systems by combining Gradient Boosting with the Salp Swarm Algorithm …
Detecting damages in metallic beam structures using a novel wavelet selection criterion
Structural damage detection using wavelet transform is effective if a suitable wavelet
function is selected. However, the selection of the appropriate wavelet function can be a …
function is selected. However, the selection of the appropriate wavelet function can be a …