Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes DOI Creative Commons
Rajasekaran Saminathan,

Abdulla Yahya Ali Nashali,

Abdulrahman Ahmed Ali Haqawi

et al.

Zastita materijala, Journal Year: 2024, Volume and Issue: 65(3), P. 473 - 480

Published: Sept. 21, 2024

When it comes to the upkeep of engineering structures in a variety industries, corrosion monitoring systems are an extremely important components. In particular, applications such as storage tanks for hazardous chemicals and weight-bearing large constructions at forefront providing attention relevance. This is due fact that failures experienced by these can potentially result catastrophic consequences. As result, contemporary methods make use application concepts connected with machine learning artificial intelligence order efficiently monitor identify related damages. consequence this, system able provide control industrial minute-by-minute updates. Therefore, catastrophe prevented significant degree, there possibility lowering costs associated technical procedures require maintenance. Within scope this paper, comprehensive analysis conducted on techniques utilized across wide range industries. Through assessment, solutions efficient specific domains made available. Consequently, purpose work determine appropriate technique each every corrosion-related disorder.

Language: Английский

Prediction of central deflection and slenderness limit for lateral stability of simply supported concrete beam using machine learning techniques DOI

Rashid Mustafa,

Md Talib Ahmad,

Akash Kumar

et al.

Asian Journal of Civil Engineering, Journal Year: 2024, Volume and Issue: 25(7), P. 5443 - 5466

Published: July 26, 2024

Language: Английский

Citations

1
Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes DOI Creative Commons
Rajasekaran Saminathan,

Abdulla Yahya Ali Nashali,

Abdulrahman Ahmed Ali Haqawi

et al.

Zastita materijala, Journal Year: 2024, Volume and Issue: 65(3), P. 473 - 480

Published: Sept. 21, 2024

When it comes to the upkeep of engineering structures in a variety industries, corrosion monitoring systems are an extremely important components. In particular, applications such as storage tanks for hazardous chemicals and weight-bearing large constructions at forefront providing attention relevance. This is due fact that failures experienced by these can potentially result catastrophic consequences. As result, contemporary methods make use application concepts connected with machine learning artificial intelligence order efficiently monitor identify related damages. consequence this, system able provide control industrial minute-by-minute updates. Therefore, catastrophe prevented significant degree, there possibility lowering costs associated technical procedures require maintenance. Within scope this paper, comprehensive analysis conducted on techniques utilized across wide range industries. Through assessment, solutions efficient specific domains made available. Consequently, purpose work determine appropriate technique each every corrosion-related disorder.

Language: Английский

Citations

0