A critical review on control strategies for structural vibration control
In recent years, the application of structural control strategies to attenuate the dynamic
response of civil engineering structures subjected to human-induced and environmental …
response of civil engineering structures subjected to human-induced and environmental …
A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
X Zheng, H Nguyen - Chemosphere, 2022 - Elsevier
This study aims at providing a robust artificial intelligent model for predicting the efficiency of
heavy metal removal from aqueous solutions of biochar systems with high accuracy and …
heavy metal removal from aqueous solutions of biochar systems with high accuracy and …
Solar photocatalytic membranes: an experimental and artificial neural network modeling approach for niflumic acid degradation
The presence of contaminants of emerging concern (CEC), such as pharmaceuticals, in
water sources is one of the main concerns nowadays due to their hazardous properties …
water sources is one of the main concerns nowadays due to their hazardous properties …
Novel physics-informed artificial neural network architectures for system and input identification of structural dynamics PDEs
Herein, two novel Physics Informed Neural Network (PINN) architectures are proposed for
output-only system identification and input estimation of dynamic systems. Using merely …
output-only system identification and input estimation of dynamic systems. Using merely …
Locally generalized preserving projection and flexible grey wolf optimizer-based ELM for fault diagnosis of rolling bearing
S **e, H Tan, Y Li, Z Feng, Z Cao - Measurement, 2022 - Elsevier
It is a challenge for bearing fault diagnosis to effectively reduce the dimension of high
dimensional data and improve the accuracy of fault identification. To address this issue, a …
dimensional data and improve the accuracy of fault identification. To address this issue, a …
Artificial intelligence for prediction of physical and mechanical properties of stabilized soil for affordable housing
WZ Taffese, KA Abegaz - Applied Sciences, 2021 - mdpi.com
Soil stabilization is the alteration of physicomechanical properties of soils to meet specific
engineering requirements of problematic soils. Laboratory examination of soils is well …
engineering requirements of problematic soils. Laboratory examination of soils is well …
Graph recurrent neural networks-integrated real-time prediction of key displacements for fire-induced collapse early warning of steel frames
Y Wang, GQ Li, S Zhu - Applied Soft Computing, 2024 - Elsevier
This study proposes the FRAME-Net, which can extract spatial-temporal features of discrete
structures like planar steel frames, for early warning systems of fire-induced building …
structures like planar steel frames, for early warning systems of fire-induced building …
Reinforcement learning for multi-objective AutoML in vision-based structural health monitoring
This paper presents a multi-objective AutoML algorithm to optimize the architecture and
hyperparameters of deep SHM models while maximizing the accuracy of networks and …
hyperparameters of deep SHM models while maximizing the accuracy of networks and …
[HTML][HTML] Unravelling the physicochemical features of US wheat flours over the past two decades by machine learning analysis
S Jeong, D Lee, G Yang, H Kwon, M Kim, S Lee - Lwt, 2022 - Elsevier
The physicochemical features of US wheat flours harvested from 1999 to 2020 were
subjected to machine learning analysis for classifying wheat flour varieties and predicting …
subjected to machine learning analysis for classifying wheat flour varieties and predicting …
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based …
Generally, chemical compositions and physical properties such as the contents of clinkers,
surface area and particle size distribution are used to estimate cement compressive strength …
surface area and particle size distribution are used to estimate cement compressive strength …