Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines
MEAB Seghier, B Keshtegar… - Process Safety and …, 2021 - Elsevier
The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …
Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques
This paper proposes a practical implementation of robust ensemble learning models for
accurate prediction of the internal corrosion rate in oil and gas pipelines. A correct …
accurate prediction of the internal corrosion rate in oil and gas pipelines. A correct …
Data analytics and techniques
SS Abdul-Jabbar - ARO-The Scientific Journal of Koya …, 2022 - aro.koyauniversity.org
Big data of different types, such as texts and images, are rapidly generated from the internet
and other applications. Dealing with this data using traditional methods is not practical since …
and other applications. Dealing with this data using traditional methods is not practical since …
Training and testing data division influence on hybrid machine learning model process: application of river flow forecasting
The hydrological process has a dynamic nature characterised by randomness and complex
phenomena. The application of machine learning (ML) models in forecasting river flow has …
phenomena. The application of machine learning (ML) models in forecasting river flow has …
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm
Suspension bridges are critical components of transport infrastructure around the world.
Therefore, their operating conditions should be effectively monitored to ensure their safety …
Therefore, their operating conditions should be effectively monitored to ensure their safety …
Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk
In complex aeroengine structures, it is necessary to consider multi-physical loads involving
vibrational, structural, aerodynamical and heat loads for safe design. Turbine blisk …
vibrational, structural, aerodynamical and heat loads for safe design. Turbine blisk …
Metaheuristic‐based machine learning modeling of the compressive strength of concrete containing waste glass
Waste glass (WG) can be used as fine aggregate and powder in concrete mixtures,
preventing pollution induced by this non‐biodegradable material. The properties of WG …
preventing pollution induced by this non‐biodegradable material. The properties of WG …
Hybrid machine learning models to predict the shear strength of discontinuities with different joint wall compressive strength
S **e, H Lin, Y Chen, R Yao, Z Sun… - … Testing and Evaluation, 2024 - Taylor & Francis
The shear strength of discontinuities with different joint wall compressive strength (DDJCS)
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …
[HTML][HTML] Numerical analysis and prediction of lateral-torsional buckling resistance of cellular steel beams using FEM and least square support vector machine …
This study presents an advanced framework for modeling the lateral-torsional buckling
behavior of cellular steel beams, which combines hybrid intelligent models with numerical …
behavior of cellular steel beams, which combines hybrid intelligent models with numerical …
Predicting natural gas pipeline failures caused by natural forces: an artificial intelligence classification approach
Pipeline networks are a crucial component of energy infrastructure, and natural force
damage is an inevitable and unpredictable cause of pipeline failures. Such incidents can …
damage is an inevitable and unpredictable cause of pipeline failures. Such incidents can …