Piles are long, slender structural elements used to transfer the loads from the superstructure
through weak strata onto stiffer soils or rocks. For driven piles, the impact of the piling …

The forecasting of evaporative loss (E) is vital for water resource management and
understanding of hydrological process for farming practices, ecosystem management and …

This paper proposes a new algorithm called multi-objective genetic programming (MOGP)
for complex civil engineering systems. The proposed technique effectively combines the …

Measuring the bank profile shape when bank sediment particles are undergoing incipient
motion (threshold) is notable for researchers. In the present study, an advanced laser gauge …

An improved neuro-fuzzy based group method of data handling using the particle swarm
optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the …

In this study, a new design equation is derived to predict the shear strength of slender
reinforced concrete (RC) beams without stirrups using gene expression programming …

Pressure fluctuations are among the favorite topics for hydraulic engineers due to their
critical role in the design and safe operation of hydraulic structures. In this study, three …

Body weight of dogs is crucial trait for breeding, racing and housekeeping. However,
variables and factors that correctly estimate this trait are lacking. Here, we applied …

In this study, four different neural network models were evaluated for predicting both turbidity
and dissolved organic matter (DOM) removal during the coagulation process at the Akron …

Featured Application In the presented research, machine learning methods were applied to
the prediction of melt temperature and carbon concentration in the melt in the basic oxygen …