… More recently, Artificial Intelligence (AI) models have been used to overcome the problems
… of the AI-models for the modeling of the pitting corrosion risk and the marine corrosion rate. …

… subset, the maximum pitting corrosion depth prediction model that fits the data … Artificial
neural network … Based on the constant corrosion rate, it is difficult to provide accurate MPCD for …

… (iii) What are the applications of artificial intelligence … The pitting corrosion rate is 0.56
mm/year, and the general … to use inspection data to predict the remaining life of metal structures …

… The pipeline steel interacts with the chloride ions, and the … pitting corrosion rate and lead
to the increase of corrosion depth. … model can be used to support the intelligent corrosion risk …

… the uniform and pitting corrosion and passivation of 304 steel (EN). … method and probabilistic
corrosion rate estimation model. The … It also managed to detect corrosion from risk-based …

… progressively used for estimating the corrosion process in many steel structures. … model
has been used to model the corrosion rate in different seawater environments using 3C steels …

… corrosion issues. This work aims to develop a corrosion prediction model for carbon steel in
… various concentrations using artificial neural network (ANN). Experimental studies of Q345R …

… In this paper, an artificial intelligence model is established for … Whether it is crevice corrosion
or pitting corrosion, the … risk assessment of electrochemical corrosion with higher reliability. …

… Machine learning (ML) is a subfield of artificial intelligence that … develop a ML model for
predicting the corrosion rate of steel embedded in … accuracy and a relatively low risk of overfitting. …

… model performed better than other considered models (… estimation of pitting corrosion
risk and marine corrosion rate. … Artificial neural network (ANN) is a model enthused by the …