Marine container terminals play a significant role for international trade networks and global
market. To cope with the rapid and steady growth of the seaborne trade market, marine …

In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …

This article is the first attempt to employ deep learning to estimate the frequency
performance of the rotating multi-layer nanodisks. The optimum values of the parameters …

To decrease the environmental and climatic effects of rising concrete consumption, more
environmentally friendly concretes are required. One approach to achieve this goal is using …

The growing environmental concerns, excessive utilization of natural resources, and high
energy consumption have put a severe pressure on the construction industry to adopt new …

This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …

Successful implementation of construction projects worldwide calls for a set of effective risk
management plans in which uncertainties associated with risks and effective response …

Off-site construction is becoming more popular as more companies recognise the benefits of
shifting the construction process away from the construction site and into a controlled …

The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems
around the world. The cost of business disruption combined with lingering COVID-19 costs …

AI-powered image analysis and pattern recognition algorithms (IAPRA) are renowned for
their capacity to identify concrete flaws, assess strength characteristics, and anticipate the …