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 research specifically addresses the prediction of dairy product demand (DPD). Since
dairy products have a short consumption period, it is important to have accurate information …

Due to recent advancements in the area of Artificial Intelligence (AI) and computational
intelligence, the application of these technologies in the construction industry and structural …

The main objective of the present work is to estimate the load-carrying capacity of concrete-
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …

A supply chain performance prediction system aims to estimate lagging metrics based on
leading metrics so as to predict performance based on causal relationships. Two studies in …

Abstract Evaluation of the parameters affecting the shear strength and ductility of steel–
concrete composite beam is the goal of this study. This study focuses on predicting the future …

Presence of copper within water bodies deteriorates human health and degrades natural
environment. This heavy metal in water is treated using a promising biochar derived from …

Gas multisensor devices offer an effective approach to monitor air pollution, which has
become a pandemic in many cities, especially because of transport emissions. To be …

This study aims to investigate the prediction of critical buckling load of steel columns using
two hybrid Artificial Intelligence (AI) models such as Adaptive Neuro-Fuzzy Inference System …

The main aim of this study is to develop different hybrid artificial intelligence (AI)
approaches, such as an adaptive neuro-fuzzy inference system (ANFIS) and two ANFISs …