External corrosion of oil and gas pipelines: A review of failure mechanisms and predictive preventions

M Wasim, MB Djukic - Journal of Natural Gas Science and Engineering, 2022 - Elsevier
This paper presents an updated review of the external corrosion and failure mechanisms of
buried natural gas and oil pipelines. Various forms of external corrosion and failure …

[HTML][HTML] Review of finite element model updating methods for structural applications

S Ereiz, I Duvnjak, JF Jiménez-Alonso - Structures, 2022 - Elsevier
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …

Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review

M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Optimizing connection weights in neural networks using the whale optimization algorithm

I Aljarah, H Faris, S Mirjalili - Soft Computing, 2018 - Springer
The learning process of artificial neural networks is considered as one of the most difficult
challenges in machine learning and has attracted many researchers recently. The main …

An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer

FA Essa, M Abd Elaziz, AH Elsheikh - Applied Thermal Engineering, 2020 - Elsevier
In this paper, a new productivity prediction model of active solar still was developed
depending on improving the performance of the traditional artificial neural networks using …

Structural damage detection using finite element model updating with evolutionary algorithms: a survey

NF Alkayem, M Cao, Y Zhang, M Bayat, Z Su - Neural Computing and …, 2018 - Springer
Structural damage identification based on finite element (FE) model updating has been a
research direction of increasing interest over the last decade in the mechanical, civil …

Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm

Z Alameer, M Abd Elaziz, AA Ewees, H Ye, Z Jianhua - Resources Policy, 2019 - Elsevier
Develo** an accurate forecasting model for long-term gold price fluctuations plays a vital
role in future investments and decisions for mining projects and related companies. Viewed …

Soft computing techniques in structural and earthquake engineering: a literature review

R Falcone, C Lima, E Martinelli - Engineering Structures, 2020 - Elsevier
Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Novel soft computing model for predicting blast-induced ground vibration in open-pit mines based on particle swarm optimization and XGBoost

X Zhang, H Nguyen, XN Bui, QH Tran… - Natural Resources …, 2020 - Springer
Blasting is a useful technique for rocks fragmentation in open-pit mines, underground mines,
as well as for civil engineering work. However, the negative impacts of blasting, especially …

Bearing capacity of ring footings in anisotropic clays: FELA and ANN

DK Nguyen, TP Nguyen, C Ngamkhanong… - Neural Computing and …, 2023 - Springer
A novel investigation of the bearing capacity of ring footings embedded in undrained
anisotropic clays using a new hybrid soft computation technique that cooperates between …