The construction sector has been addressing the issue of integrating sustainability into
production processes over the last few years, either through solid waste materials as …

The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

Using soft computing methods could be of great interest in predicting the compressive
strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this …

In order to predict the compressive strength (σ c) of Ultra-high performance fiber reinforced
concrete (UHPFRC), develo** a reliable and precise technique based on all main …

The present research introduces an optimum performance soft computing model by
comparing deep (multi-layer perceptron neural network, support vector machine, least …

The mixing ratio of the raw materials has a significant impact on concrete compressive
strength. Although the compressive strength of concrete can be inferred from the mix ratio, it …

Recently, a number of machine-learning models have been proposed for the prediction of
28-day compressive strength of concrete using constituent material information as inputs …

The critical challenge for the cement production industry is the high emission of greenhouse
gases. For the sustainability in a cycling economy context civil and environmental engineers …

The complexity of concrete's composition makes it difficult to predict its compressive
strength, which is a highly valuable and desired characteristic. Traditional methods for …

Water inflow is a typical and complicated geological hazard that may have a significant effect
on both the building timeline and the safety of a tunnel under construction. Therefore …