Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

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 …

Performance metrics (Evaluation metrics or error metrics) are crucial components of
regression analysis and machine learning-based prediction models. A performance metric …

Accurate determination of cable force values is the most important technical means to avoid
damage to the cable bridge. In order to avoid the influence of the difficulty in distinguishing …

Recently, there has been a tendency to use machine learning (ML)–based methods, such as
artificial neural networks (ANNs), for more accurate estimates. This paper investigates the …

Image processing (IP), artificial neural network (ANN), and adaptive neuro-fuzzy inference
system (ANFIS) are innovative techniques in computer science that have been widely used …

A porous weir is an environmentally friendly structure with minimal negative environmental
impact. Due to the complex flow mechanism around porous weirs, it is difficult to provide a …

In the design and analysis stages, the modulus of elasticity plays a crucial role in influencing
the lateral deflection of a reinforced concrete structure. The elastic modulus (EM) of concrete …

This study presents an advanced framework for modeling the lateral-torsional buckling
behavior of cellular steel beams, which combines hybrid intelligent models with numerical …